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About The Team & Opportunity

Calendly is the scheduling automation platform used by millions of users for eliminating the back-and-forth emails to find the perfect time — and so much more. Our analytics team is made up of data analysts dedicated to various areas of the business who develop reporting, insights, and serve as a consultative partner to our entire organization. You will have your hands on our self-serve product-led business, supporting the team in making decisions, optimizing campaigns and enhancing customer acquisition – ultimately driving business growth.

Our Data Analysts play a pivotal role in empowering the Calendly team with strategic insights into user acquisition, conversion, retention, and overall business performance, specifically within the growth domain. This role sits on the Product Analytics team, which is a part of the centralized Analytics team alongside Reporting Analytics and User Insights. Together, our team is positioned to help Calendly become a data-driven, customer-obsessed organization.

The Product Analytics team enables Calendly to understand and accelerate user growth across the entire funnel through actionable insights and data-informed strategies. We do this by driving experimentation, optimizing go-to-market levers, analyzing product feature behaviors, and aligning these insights with Calendly’s broader growth objectives. If you’re looking to solve meaningful growth challenges and directly influence Calendly’s trajectory, this role is for you.

A Day In The Life Of A Senior Data Analyst At Calendly

Utilize your deep product expertise and advanced analytics skills to drive decision-making across the organization. This role is responsible for conducting in-depth analyses, owning experimentation from end to end, developing event tracking plans, and delivering impactful reports to measure the effectiveness of features. Working closely with business stakeholders, the analyst translates complex business questions into structured analyses, supports experimentation through data collection and test design, and provides strategic recommendations. A strong commercial mindset is essential, as the role requires the ability to size up ambiguous problems, identify opportunities, and guide the team toward actionable insights.

On a typical day, you will be working on:

Partnering with cross-functional teams across Product, Engineering, Revenue, Design, and Lifecycle to define analytics and experimentation roadmaps and identify growth opportunities
Designing and analyzing A/B tests to validate hypotheses and optimize acquisition, activation, and retention strategies
Define success for product initiatives, ensuring features deliver meaningful and measurable user and business value
Ensuring analytics outputs are accurate, timely, and aligned with Calendly’s business goals
Representing growth levers and business objectives in cross-functional planning and strategy discussions
Applying statistical methods to uncover insights related to product usage (e.g., conversion funnel analysis, cohort retention, lifecycle segmentation, LTV modeling, and churn prediction)
Building and maintaining dashboards that surface key growth trends and enable stakeholders to self-serve insights effectively
Design, implement, and maintain comprehensive event tracking plans to ensure accurate measurement of user behavior, product adoption, and feature performance

What Do We Need From You?

Deep knowledge and experience with A/B testing statistics and experimentation end to end design
Proficient in Python programming for developing advanced analytics solutions and automation scripts
Advanced proficiency in SQL, relational databases, and data analysis/visualization tools like Hex
Strong strategic thinking and problem-solving skills, translating data insights into actionable growth strategies
Excellent communication and stakeholder management skills, conveying technical concepts to non-technical audiences
Ability to translate detailed data into clear, actionable recommendations, bridging technical and business perspectives
Inquisitive mindset for uncovering insights and opportunities through data, driving continuous improvement
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

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What’S In It For You?

Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.

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If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com .

Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.

All candidates can find our Candidate Privacy Statement here

Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection

The ranges listed below are the expected annual base salary for this role, subject to change.

Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.

Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits.

Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:

Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
Tier 3: All other locations not in Tier 1 or Tier 2

\nTier 1 Salary Hiring Range$181,503.90—$229,549.05 USDTier 2 Salary Hiring Range$166,378.58—$210,419.96 USDTier 3 Salary Hiring Range$151,253.25—$191,290.88 USD","hiringOrganization":{"@type":"Organization","name":"Calendly","sameAs":"https://calendly.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

At WelbeHealth, we serve our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. These core values and our participant-focus lead the way no matter what.

The Senior Data Analyst uses data to define and build out metrics, KPIs, dashboards, ad hoc analyses, and analytical models in one or more of the following areas: clinical, health plan, human resources, marketing, and financial analytics. The Senior Data Analyst is consultative and will support data-driven business decisions and provide actionable business and operational insights.

Essential Job Duties:

Collaborate with business stakeholders to help identify which metrics are most useful to track, how they should be defined, and how they can be improved
Provide analysis-backed ideas on how to improve status quo, and find new solutions and levers to improve business and clinical efficacy
Build relationships and trust with business partners
Use data, information, analysis, and modeling to find ways to improve key metrics and optimize operations and clinical efficacy
Serve as a subject matter expert for business rules and logic (clinical and non-clinical) to convert information into operational and clinical metrics and KPIs
Partner with the Enterprise Data Warehouse team in the design and development of a single source of truth repository for the company’s clinical and operational data
Communicate effectively to business users, stakeholders, and leaders on how business and clinical logic is applied to arrive at KPIs and metrics, why we’re measuring what we’re measuring, and how operational activities link to KPIs, OKRs, etc.

Job Requirements:

Bachelor’s degree in analytics, data science, math, statistics, or related field required; master’s degree preferred
Minimum of two (2) years of experience in business analytics, with a focus on converting business information into actionable analysis and insights
Minimum of two (2) years of experience with business information architecture, business metric governance, metric cataloging and dictionaries
Minimum of two (2) years of experience with SQL, SAS, Tableau, Power BI, or other analytical and business intelligence tools
Minimum of two (2) years of experience with Machine Learning or Predictive Analytics
Experience working in a consultative capacity, guiding business partners to make data-driven decisions
Excellent organizational and communication skills with leaders, stakeholders, and users

Benefits of Working at WelbeHealth: Apply your expertise in new ways as we rapidly expand. You will have the opportunity to design the way we work in the context of an encouraging and loving environment where every person feels uniquely cared for.

BENEFITS: Health Coverage on Day 1, Paid Parental Leave, 401K Match.
PERKS: 17 days of paid time off in year one, 12 company holidays, and 6 sick days
GROWTH: Career path advancement and leadership opportunities

Salary/Wage base range for this role is $90,281 - $119,171 / year + Bonus + Equity. WelbeHealth offers competitive total rewards package that includes, 401k match, healthcare coverage and a broad range of other benefits. Actual pay will be adjusted based on experience and other qualifications.

Compensation$90,281—$119,171 USD

Covid-19 Vaccination Policy

At WelbeHealth, our mission is to unlock the full potential of our vulnerable seniors. In this spirit, please note that we have a vaccination policy for all our employees and proof of vaccination, or a vaccine declination form will be required prior to employment. WelbeHealth maintains required infection control and PPE standards and has requirements relevant to all team members regarding vaccinations.

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Our Commitment to Diversity, Equity and Inclusion

At WelbeHealth, we embrace and cherish the diversity of our team members, and we're committed to building a culture of inclusion and belonging. We're proud to be an equal opportunity employer. People seeking employment at WelbeHealth are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

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Beware Of Scams

Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to fraud.report@welbehealth.com

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Job Summary

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This role will inform decision making and develop actionable insights to deliver optimal patient care and outcomes to support AbsoluteCare’s clinical, financial, and operational goals. The Sr. Data Analyst will work in close collaboration with Clinical, Pharmacy, and executive leadership to design, develop reports and conduct analyses using health care utilization, operational, clinical, and financial data from various health care information sources to measure and drive member and care model outcomes.

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This role will review, interpret, and analyze clinical and operational data from the Electronic Health Record (eClinicalWorks), pharmacy point of sale system, population health management systems, and health plan payer data and deliver reports that respond to critical business needs. This role covers Levels III/IV.

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Duties And Responsibilities

\n\n

Analyze and regularly report upon clinical and operational care model data from EHR (eClinicalWorks), pharmacy point of sale system (RX30), population health management systems, medical and pharmacy claims provided by health plan payers, and other internal and third-party data streams, as necessary.
Work collaboratively with our Integrated Clinical and Pharmacy Teams to define, create, document, and implement ad-hoc reports/analytics that support the AbsoluteCare clinical care model and strategy.
Ability to design with key performance metrics, actionability, clinicians, and patients in mind; utilize data to not only identify potential impact, but also test and monitor performance of clinical metrics and outcomes.
Automate manual reporting and develop novel reporting using the Microsoft BI stack and other reporting tools.
Communicate analyses, results, and reports in a simple and clear fashion to all levels and functional areas of the organization.
Conduct analyses using tools such as SQL, Excel, Power BI.
Conduct extensive data mining and analyses to identify trends, opportunities, and best practices.
Organize, clarify, and translate business processes into reporting requirements from a diverse set of end users (e.g., executives, clinicians),
Interpret medical data fields to understand the population’s compliance with standard quality measures (e.g., HEDIS, NCQA).
Promote a culture of high-quality reporting and analytics by acting as a peer reviewer for team members.
Relate disparate data sets to extract actionable insights.
Support business needs through the development of ad-hoc and standardized reports as requested by the executive leadership team, as well as internal and external customers.
Troubleshoot and align the reporting needs of end users to available data sets.

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Minimum Qualifications

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Bachelor’s degree in business, information technology, computer science/data science/data analytics, statistics, mathematics, actuarial science, health science, or related field or equivalent work experience required.3-5+ years of health care data, analysis, and reporting experience required, Clinical background with EHR experience (eClinicalWorks), Pharmacy point of sale systems, and/or population health management systems and/or health plan payer/experience strongly preferred.
Health plan experience with Managed Medicaid and Medicare Advantage plans a plus.
2+ years of experience with the Microsoft BI stack, including SSMS, SSRS, SSIS, and Power BI or other visualization tools strongly preferred.
1+ years of experience with Microsoft Power BI, Power Query, or other Business Intelligence Tools strongly preferred.
Advanced proficiency with Microsoft Excel.
Advanced proficiency with relational databases (SQL server), querying, data warehouses, and decision support tools required.
Experience with R, Python, machine learning, and artificial intelligence libraries in building predictive analytics models is a plus.
Experience with building data models, data mining and using data to drive business outcomes and decisions required.
Experience with 340b, Medicaid, and Medicare Part B/D pharmacy programs is a plus.
Ability to work independently with limited direction and/or guidance.
Capable of successfully balancing numerous and competing priorities.
Excellent written and verbal communication skills with experience collaborating with executives strongly preferred.
Highly organized with strong documentation skills.
Passion for data and the act of transforming data to achieve results.

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Working Conditions

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This job operates in a professional office environment and remotely from home office space. This role routinely uses general office equipment.

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Physical Requirements

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Ability to communicate clearly and exchange accurate information constantly.
Ability to remain stationary for long periods of time.
Repetitious movements.
Constantly operates computer, keyboard, copy and fax machine, phone, and other general office equipment.
Ability to occasionally move objects up to 20 lbs.

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Direct Reports

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None

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At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.

The Transaction Operations Lean Process Excellence team is looking for a Senior Data Analyst to drive reporting and data analytics initiatives within the Regional Operations team that make the organization more efficient, more effective, and more profitable. This role involves partnering with a broad scope of stakeholders to design, build, and implement data analytics tools in an operational environment. This individual will thrive in a high-growth, collaborative, dynamic environment and will create an environment that is relentlessly focused on building robust, accurate, and user-friendly tools and dashbaords. This is a full-time position that will report directly into the Director of Lean Process Excellence, Analytics, and Reporting.

If you are passionate about building and using data to drive efficiency and effectiveness, we’d be thrilled to have you

At Compass You Will:

Work with complex data sets to architect and validate accurate solutions for tracking long-term performance of teams and individuals and prioritize work.
Collaborate with a broad set of stakeholders to define and align on functional requirements that capture the voice of the customer and the voice of the process.
Analyze trends in data to suggest actions for improving/adherence to Key Performance Indicators and Service Level Agreements.
Build compelling and impactful visualizations and artifacts using tools such as Microsoft Power BI to empower end users to self-serve and use data in their day-to-day processes.
Collaborate with other Data Scientists and Project Managers to ensure consistency in Suite of reporting and good user experience.
Contribute to a data-driven culture focused on leveraging data insights for key strategic and tacitcal decisions.
Collaborate with central Business Intelligence and Data Quality teams to ensure adherence and contribute to data governance, data hygiene, and data quality.

What We Look For:

3+ years of relevant industry experience in a technical engineering and/or analytics capacity
Proven experience working with business users to translate requirements into scalable assets that deliver actionable insights and enable self-service analysis
Advanced SQL, DAX and data modeling skills
Proficient programming skills in data transformation and preparation using SQL and/or Python
Proven experience in data wrangling and developing visualizations with tools such as Tableau, Power BI, Looker, etc
Experience working with cloud-based data lakehouses (e.g Databricks, Redshift)
Strong understanding of data modeling and software engineering best practices
Preferred experience with a programming language (Python, PySpark, R, Scala, etc)
Growth mindset, self-starter with a desire to continually learn and improve
Team player, willingness to work within a collaborative team environment
Passion for solving challenging, complex problems in a fast-paced & sometimes ambiguous environment

Compensation:

The base pay range for this position is $85,800 - $128,800 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Perks that You Need to Know About:

Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.

\n\n \nDo your best work, be your authentic self.\nAt Compass, we believe that everyone deserves to find their place in the world — a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.\n

Notice for California Applicants

Los Angeles County Fair Chance Notice

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If you are passionate about building and using data to drive efficiency and effectiveness, we’d be thrilled to have you

At Compass You Will:

Work with complex data sets to architect and validate accurate solutions for tracking long-term performance of teams and individuals and prioritize work.
Collaborate with a broad set of stakeholders to define and align on functional requirements that capture the voice of the customer and the voice of the process.
Analyze trends in data to suggest actions for improving/adherence to Key Performance Indicators and Service Level Agreements.
Build compelling and impactful visualizations and artifacts using tools such as Microsoft Power BI to empower end users to self-serve and use data in their day-to-day processes.
Collaborate with other Data Scientists and Project Managers to ensure consistency in Suite of reporting and good user experience.
Contribute to a data-driven culture focused on leveraging data insights for key strategic and tacitcal decisions.
Collaborate with central Business Intelligence and Data Quality teams to ensure adherence and contribute to data governance, data hygiene, and data quality.

What We Look For:

3+ years of relevant industry experience in a technical engineering and/or analytics capacity
Proven experience working with business users to translate requirements into scalable assets that deliver actionable insights and enable self-service analysis
Advanced SQL, DAX and data modeling skills
Proficient programming skills in data transformation and preparation using SQL and/or Python
Proven experience in data wrangling and developing visualizations with tools such as Tableau, Power BI, Looker, etc
Experience working with cloud-based data lakehouses (e.g Databricks, Redshift)
Strong understanding of data modeling and software engineering best practices
Preferred experience with a programming language (Python, PySpark, R, Scala, etc)
Growth mindset, self-starter with a desire to continually learn and improve
Team player, willingness to work within a collaborative team environment
Passion for solving challenging, complex problems in a fast-paced & sometimes ambiguous environment

Compensation:

Perks that You Need to Know About:

Notice for California Applicants

Los Angeles County Fair Chance Notice

","hiringOrganization":{"@type":"Organization","name":"Compass","sameAs":"https://www.compass.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

If you are passionate about building and using data to drive efficiency and effectiveness, we’d be thrilled to have you

At Compass You Will:

Work with complex data sets to architect and validate accurate solutions for tracking long-term performance of teams and individuals and prioritize work.
Collaborate with a broad set of stakeholders to define and align on functional requirements that capture the voice of the customer and the voice of the process.
Analyze trends in data to suggest actions for improving/adherence to Key Performance Indicators and Service Level Agreements.
Build compelling and impactful visualizations and artifacts using tools such as Microsoft Power BI to empower end users to self-serve and use data in their day-to-day processes.
Collaborate with other Data Scientists and Project Managers to ensure consistency in Suite of reporting and good user experience.
Contribute to a data-driven culture focused on leveraging data insights for key strategic and tacitcal decisions.
Collaborate with central Business Intelligence and Data Quality teams to ensure adherence and contribute to data governance, data hygiene, and data quality.

What We Look For:

3+ years of relevant industry experience in a technical engineering and/or analytics capacity
Proven experience working with business users to translate requirements into scalable assets that deliver actionable insights and enable self-service analysis
Advanced SQL, DAX and data modeling skills
Proficient programming skills in data transformation and preparation using SQL and/or Python
Proven experience in data wrangling and developing visualizations with tools such as Tableau, Power BI, Looker, etc
Experience working with cloud-based data lakehouses (e.g Databricks, Redshift)
Strong understanding of data modeling and software engineering best practices
Preferred experience with a programming language (Python, PySpark, R, Scala, etc)
Growth mindset, self-starter with a desire to continually learn and improve
Team player, willingness to work within a collaborative team environment
Passion for solving challenging, complex problems in a fast-paced & sometimes ambiguous environment

Compensation:

Perks that You Need to Know About:

Notice for California Applicants

Los Angeles County Fair Chance Notice

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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We are seeking a Senior Data Analyst to drive experimentation and insights across our marketing and growth email programs. This role will own the design and measurement of A/B experiments and automation initiatives, ensuring statistical rigor and actionable outcomes that optimize the user journey. You will partner closely with the Growth Marketing and Product teams to enable data-driven decision-making at scale, uncover key opportunities, and provide recommendations that improve acquisition, engagement, and retention.

The ideal candidate brings deep expertise in experimental design and statistical analysis, advanced SQL skills, and working knowledge of Python for data transformation and modeling. You will thrive in translating complex data into clear insights, building scalable analytical frameworks, and influencing cross-functional teams with evidence-based recommendations. Your ideal mix of curiosity, technical expertise, and collaborative spirit will allow you to become a trusted partner and the go-to expert for interpreting complex experiments, identifying key drivers of growth, and championing best practices in data analytics.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

Surface insights to drive executive decision making across the business
Work with Marketing and Sales teams to enable and analyze data-driven customer outreach campaigns
Design and analyze experiments to measure incremental impact of various initiatives, leveraging methodologies that improve accuracy and scalability
Automate analytical pipelines, develop reporting tools, and maintain certified data codebases to ensure reproducibility, scalability, and efficiency of insights delivery
Continuously learn about the product, the user ecosystem, and industry best practices to drive innovation and high-quality analysis
Write and maintain complex queries to conduct deep-dive analyses on the impact Marketing initiatives have on acquisition, product activation and user retention
Work closely with Data Architecture and Data Engineering teams to help create and optimize custom views and tables to enable reporting for marketing and growth teams
Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes

Skills & Attributes

5+ years of experience in Analytics roles, with at least 2 years working closely with Marketing or Product teams
Advanced skills in SQL, with a proven ability to automate workflows and build scalable solutions, Python or R capability is a plus
Domain knowledge in growth marketing and/or email marketing, with the ability to translate analytical findings into strategies that directly improve user journeys and campaign effectiveness
Experience converting analytical workflows and methodologies into reusable tools or packages to increase team adoption and efficiency
Strong working knowledge of statistics and experimental design, with hands-on experience running and interpreting A/B tests, incrementality testing, and other causal inference methods
Proficiency in automation through dashboards, scripting, or lightweight pipelines to scale insights and streamline recurring analyses
Excellent communication skills, capable of explaining complex quantitative concepts to diverse audiences, including non-technical stakeholders
Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
Self-motivated, curious, and collaborative, with a commitment to fostering a positive work environment and contributing to the team’s success

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3263247299

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Start Date: January 2026

Location: Amsterdam

Duration: 6 months, 32-40 hrs per week

Are you looking to make your mark on a platform that touches the lives of millions of people? Then you’re at the right place. It's an amazing time to join our Data Team help our growing and dynamic team expand globally.

We’re looking for a mathematically minded and curious intern to join as our Marketing Data Analytics Intern. This position is also embedded within our Marketing team (Brand, Growth, CRM, Performance), helping them discover opportunities to grow and achieve their targets. Under the direction of our Senior Data Analyst, you’ll support the high-quality use of data, locate the right information, conduct quantitative analysis, and share findings in a clear and appealing format.

Your work will help improve the quality of decision-making across the marketing function, turning questions into answers that drive measurable impact.

Five Result Areas

Be the “source of truth” for ad-hoc analyses: Translate marketing stakeholders’ questions into data-driven answers. Present insights visually and clearly, providing actionable takeaways on short notice.
Be an “Embedded Analyst” for Marketing: Work closely with the Brand, CRM, Growth and Performance to understand their needs, goals, and challenges. Provide data-based insights to support their decision making, shoulder the responsibility for the quantitative side of marketing initiatives.
Marketing dashboards & self-service analytics: Support the creation and maintenance of dashboards and reports so routine questions can be answered without ad-hoc help. Help define and track core marketing metrics.
Continually explore data for growth opportunities: Spot underexplored areas for analysis and dig deep into data to uncover insights that can improve the user journey and marketing effectiveness.

Develop as a data professional: Build the key competencies required to transition into a junior data analyst role — from SQL and dbt to Tableau, version control and modern workflows. Learn to communicate complex findings simply and persuasively.

Requirements

What will help you be successful:

You are doing a BSc or MSc degree in Mathematics, Engineering, Data, Econometrics, or a related field, and this internship is a requirement for your degree.
You have basic SQL skills and are eager to deepen your knowledge of SQL, dbt, and Tableau.
You communicate clearly, making complex analysis simple for every stakeholder.
You collaborate naturally, helping teams thrive on a data-driven foundation.
You learn quickly, adopting new tools and using them effectively.
You’re excited to dig deep into data to find insights that matter.
Compensation: A monthly internship compensation of €600 (based on full-time hours).
Impact: The chance to make a life-changing impact on people’s lives.
Environment: The fun and hustle of a tech scale-up within a small but profitable company.
Team: A welcoming, authentic, humble, and fun team.

What We Offer

Office: A vibrant office space in the center of Amsterdam.
Perks: Regular team outings and dinners, and Inner Circle membership for you and your friends.

About Inner Circle

Inner Circle is less like a dating app, more like a member’s club made for dating. Niche by design, it’s for people who live ambitious, interesting lifestyles – and want to date people who move in similar circles. Built on the belief that opposites don’t attract, a thorough application and screening process curates a community where everyone is worth dating – and people have more in common than just being single.

The independent bootstrapped tech company ranked in the FT1000 2020 list as one of the fastest-growing companies in Europe. The company was also the winner of Deloitte’s Technology Fast 50 in The Netherlands in 2018.

At Inner Circle, we embrace our diverse community and team. We celebrate differences and know that they are key for helping us grow. Our team consists of 40 team members, with 16 nationalities and a female:male ratio of 60:40. Whatever your race, religion, colour, gender, national origin, political affiliation, sexual orientation, marital status, disability or age, we make sure everyone has the space to be themselves.

","hiringOrganization":{"@type":"Organization","name":"Inner Circle","sameAs":"https://www.theinnercircle.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, Noord-Holland, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Analyst - AML Risk Intelligence","datePosted":"2025-09-19","description":"

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

About This Role:

We are looking for a Senior Data Analyst to lead risk analytics for financial crime risk management at Wise.

This is a dedicated risk function embedded in the analytics teams to support the development and evolution of quantitative risk management strategy for Wise. Financial Crime is one the the most critical risk domains for Wise and therefore this role requires a very hands on approach to building solutions that are scalable and actionable.

We are seeking a highly skilled and inquisitive Senior Risk Analyst to join our Financial Crime Analyst team. This role sits at the intersection of analytics and mission-critical risk management, supporting Wise’s efforts to proactively identify, measure, and mitigate financial crime risks.

As financial crime risks become increasingly complex and data-driven, we’re looking for a quantitative expert who can combine deep technical proficiency with a sharp understanding of risk management. You’ll play a pivotal role in shaping how we proactively identify, monitor, and respond to risks. You will drive meaningful impact by embedding a robust risk quantification program across your domain.

If you’re passionate about solving complex risk problems and want to make a tangible impact in helping Wise scale their mission of money without borders, we’d love to hear from you.

Your mission:
\n
\nAt Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.

Here’s how you’ll be contributing to the Financial Crime team:

Design, develop and maintain a dashboard of KRIs and relevant Risk appetites for AML risk management. This includes defining relevant tolerance and granularity of KRIs and drill downs necessary to swift identify and action risk deterioration.
Proactive identify and lead risk initiatives in AML including development of metrics, running deep dives, trend analysis, incident thematics or risk concentrations - your inputs will be a critical driver to build a more proactive risk management program.
Provide analytical inputs requiring quantitative assessments such as but not limited to product changes, inherent risk assessment frameworks, issues rating analysis, scenarios testing, incident reviews, risk and KRIs appetites setting, regional impact assessments
Responsible for working with financial crime risk managers in ensuring control assurance testing adequately covers relevant scenarios for DE and OE testing in the first line.
Provide quantitative risk analysis to support quarterly risk assessments for risk governance committees. This would also include from time to time also present on relevant risk topics and deep dives as necessary in the risk committees and product planning forums.
Collaborate with second line model risk management function and participate in relevant associated forums.
Working with Compliance Managers, CRO and other key risk stakeholders in defining and implementing risk strategy for financial crime risk analytics.

This role will give you the opportunity to:

Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.
Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.

Qualifications

A Bit About You:

You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
You have experience with SQL and Python/R
You have strong communication skills and an ability to translate business problems into analytical solutions
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models
Hustler-mentality. You can take work beyond the analysis and get things done
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
You have 3+ YOE analysing data in a professional setting

Some extra skills that are great (but not essential):

Experience with user-facing products and data
Experience in fincrime domain and/or risk modeling
Knowledge of trend analysis and forecasting methods
Knowledge of data modeling
Base salary: £60-£75,000 gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous best in class benefits

Additional Information

Our Offer

Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible

Paid annual holiday, sick days, parental leave and other leave opportunities

6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

","hiringOrganization":{"@type":"Organization","name":"Wise","sameAs":"https://wise.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

Who We Are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What You Will Be Doing: Key Responsibilities

As a Senior Data Analyst, your role will encompass:

Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
Extracting valuable insights from our clients’ marketing-related data sources.
Designing dashboards for marketing decision-making while taking into account the business needs
Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
Actively contributing to the expertise level and competencies of the Data & Analytics team
Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & Experience Required

\nHaving an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :\n\nIn addition, you have the knowledge in one or more of the following technologies:\n\n
Ideally You Have:
\n\n
A minimum of 3 year of work experience in a data-driven working environment
1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
1 or 2 programming languages among SQL, Python and/or R.
1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
Web application (R-Shiny, Python Flask) that you have industrialized
Knowledge of statistics
Knowledge of machine learning and data engineering

What We Are Looking For

A Doer: you get things done and inspire your team to do the same
An Analyst: you LOVE data and think every company should take their decisions based on facts
A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
A Mentor: your clients and colleagues naturally seek you out for advice
An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why You Should Join Us

Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

\n\n

Our Recruitment Process

HR call
Technical Interview
Business Interview
Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

","hiringOrganization":{"@type":"Organization","name":"Artefact","sameAs":"https://www.artefact.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"9th arrondissement of Paris, 75009, Paris, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

Who We Are

What You Will Be Doing: Key Responsibilities

As a Senior Data Analyst, your role will encompass:

Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
Extracting valuable insights from our clients’ marketing-related data sources.
Designing dashboards for marketing decision-making while taking into account the business needs
Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
Actively contributing to the expertise level and competencies of the Data & Analytics team
Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & Experience Required

\nHaving an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :\n\nIn addition, you have the knowledge in one or more of the following technologies:\n\n
Ideally You Have:
\n\n
A minimum of 3 year of work experience in a data-driven working environment
1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
1 or 2 programming languages among SQL, Python and/or R.
1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
Web application (R-Shiny, Python Flask) that you have industrialized
Knowledge of statistics
Knowledge of machine learning and data engineering

What We Are Looking For

A Doer: you get things done and inspire your team to do the same
An Analyst: you LOVE data and think every company should take their decisions based on facts
A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
A Mentor: your clients and colleagues naturally seek you out for advice
An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why You Should Join Us

Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

\n\n

Our Recruitment Process

HR call
Technical Interview
Business Interview
Fit Interview

","hiringOrganization":{"@type":"Organization","name":"Artefact","sameAs":"https://www.artefact.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"9th arrondissement of Paris, 75009, Paris, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Analyst-Data Analytics","datePosted":"2025-09-19","description":"Analyst-Data Analytics-25017227

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. It is the analytical engine that powers profitable business growth through consultative and innovative solutions across GCS. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.

This Analyst role would be based in New York and would be focused on driving Sentinel Analytics for Lifestyle gaming across channel / products. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable offer efficiency for the commercial business. S/he will be challenged with designing and creating world class marketing analytics by leveraging machine learning and advanced methodologies.

A very important focus for the role shall be quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business.

Minimum Qualifications:

Bachelor’s degree in quantitative field (e.g. Finance, Engineering, Physics, Mathematics and Economics)
Understanding of experimental test vs control and read statistical reports
Strong analytical skills: Applying analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions. Drive insights and recommendations through analytical solutions
Good People Management skills and Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items
Knowledge of Hive, Python, PySpark, SQL enabling for data manipulation and statistical modeling/data-mining techniques

Preferred Qualifications:

Master’s degree in quantitative field (e.g. Finance, Engineering, Physics, Mathematics and Economics)
A quantitative background with experience in Analytics is preferred
Work experience in relevant Industry & Domain is a plus
Strong knowledge of statistics preferred.

Minimum Qualifications

Salary Range: $60,000.00 to $110,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Job

Data Mgmt and Analytics

Primary Location

US-New York-New York

Organization

A6795 - GCS AI&M Enablement

Schedule

Full-timeJob Band 30Work Location Options Hybrid

Job Posting

Sep 18, 2025, 4:22:58 PM - Oct 3, 2025, 6:59:00 AM

Recruiter

Jayvan Kaleb Esebei Tarkong

Hiring Manager

Sidharth Sharma","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-New York-New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Technical Programme Manager - Data Analytics","datePosted":"2025-09-19","description":"Tesco UK • London • Full-Time • Apply by 10-Oct-2025\n\n\n\n\n\n\n About the role\n \n\n

We have an outstanding opportunity for an experienced Technical Programme Manager to join Tesco’s Programme and Strategy team, part of the wider Data and Analytics team.

We are a true \"hub and spoke\" team engaging and managing dependencies with a vast number of teams within Tesco as well as third parties. Our role is to ensure data availability and quality in one central repository whilst supporting the delivery of key Tesco business priorities through our analytics, visualisation and data science programmes.

This role will be responsible for establishing and managing programmes of work covering our Data Products, AI Strategy Implementation, Data Science, Analytics and BI tools and data engineering teams.

\n\n\n\n\n What is in it for you\n \n\nWe’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!

Annual bonus scheme of up to 20% of base salary
Holiday starting at 25 days plus a personal day (plus Bank holidays)
Private medical insurance
26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

\n\n\n\n\n You will be responsible for\n \n\n

Technical Programme Managers (TPM) work with teams that deliver multiple, complex, cross-functional technology programmes that support colleagues and help serve our customers better. They work collaboratively, influence Product, Engineering, and business colleagues to deliver value quickly and often.

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities and measures:

Deliver complex programmes with multiple business and technical risks that will impact the success of key Tesco business priorities
Establish new or improve existing delivery methodology to deliver the programme goals
Initiate and shape programmes with ambiguous scope and uncertain delivery approach
Create and track a plan to deliver the programme goals, including the technical implementation plan
Provide expert advice and guidance on programme delivery supporting Engineering/Product teams
Understand trade-offs in software delivery, using experience and influencing skills to drive consensus with the Engineering and Product teams to obtain the best value and solution
Able to foresee potential risks and issues, establish a process, facilitate discussions, and manage escalations
Act on opportunities to adopt trends and new concepts in programme and product delivery
Able to understand a technical architecture to be able to foresee the impact on dependencies, delivery timelines and implementation plans
Have good knowledge of engineering best practices and practical infrastructure implementations to appreciate delivery challenges
Ask probing questions of Engineering and Product, Data Science teams to ensure solutions meet programme objectives
Understand technology concepts, grasp new ones quickly and appreciate their implications on delivery
Effectively manage major incidents, ensuring stakeholders are updated with the right information to drive the correct decisions
Collaborate with the Product and Engineering teams to define annual budgetary requirements and track them efficiently
Build positive relationships with suppliers & external stakeholders to deliver Product, software or professional services
Proactively research trends and development in technology, and programme and product delivery
Coach peers and other roles, teaching where required, on Agile, Waterfall, Hybrid methodologies and programme management tools and coach/mentor on leadership
Take a leading role in the recruitment process and make final recruitment decisions

\n\n\n\n\n You will need\n \n\n

Key Skills and Experience

An ideal candidate must have demonstrated below key skills in their current and past roles:

Have a proven record of accomplishment in delivering technology and/or infrastructure; having done so across multiple teams in multiple geographies
Have experience of building credible relationships and influencing senior management & leadership teams
Strong Project, Stakeholder & Programme management skills
Excellent reporting skills for programs and financial forecasting
Excellent communication & influencing skills and adaptability to changes

\n\n\n\n\n About us\n \n\nOur vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.","hiringOrganization":{"@type":"Organization","name":"Tesco","sameAs":"https://www.tesco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom of Great Britain and Northern Ireland","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Technical Programme Manager - Data Analytics","datePosted":"2025-09-19","description":"Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Apply by 10-Oct-2025\n\n\n\n\n\n\n About the role\n \n\n

We have an outstanding opportunity for an experienced Technical Programme Manager to join Tesco’s Programme and Strategy team, part of the wider Data and Analytics team.

This role will be responsible for establishing and managing programmes of work covering our Data Products, AI Strategy Implementation, Data Science, Analytics and BI tools and data engineering teams.

Annual bonus scheme of up to 20% of base salary
Holiday starting at 25 days plus a personal day (plus Bank holidays)
Private medical insurance
26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

\n\n\n\n\n You will be responsible for\n \n\n

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities and measures:

Deliver complex programmes with multiple business and technical risks that will impact the success of key Tesco business priorities
Establish new or improve existing delivery methodology to deliver the programme goals
Initiate and shape programmes with ambiguous scope and uncertain delivery approach
Create and track a plan to deliver the programme goals, including the technical implementation plan
Provide expert advice and guidance on programme delivery supporting Engineering/Product teams
Understand trade-offs in software delivery, using experience and influencing skills to drive consensus with the Engineering and Product teams to obtain the best value and solution
Able to foresee potential risks and issues, establish a process, facilitate discussions, and manage escalations
Act on opportunities to adopt trends and new concepts in programme and product delivery
Able to understand a technical architecture to be able to foresee the impact on dependencies, delivery timelines and implementation plans
Have good knowledge of engineering best practices and practical infrastructure implementations to appreciate delivery challenges
Ask probing questions of Engineering and Product, Data Science teams to ensure solutions meet programme objectives
Understand technology concepts, grasp new ones quickly and appreciate their implications on delivery
Effectively manage major incidents, ensuring stakeholders are updated with the right information to drive the correct decisions
Collaborate with the Product and Engineering teams to define annual budgetary requirements and track them efficiently
Build positive relationships with suppliers & external stakeholders to deliver Product, software or professional services
Proactively research trends and development in technology, and programme and product delivery
Coach peers and other roles, teaching where required, on Agile, Waterfall, Hybrid methodologies and programme management tools and coach/mentor on leadership
Take a leading role in the recruitment process and make final recruitment decisions

\n\n\n\n\n You will need\n \n\n

Key Skills and Experience

An ideal candidate must have demonstrated below key skills in their current and past roles:

Have a proven record of accomplishment in delivering technology and/or infrastructure; having done so across multiple teams in multiple geographies
Have experience of building credible relationships and influencing senior management & leadership teams
Strong Project, Stakeholder & Programme management skills
Excellent reporting skills for programs and financial forecasting
Excellent communication & influencing skills and adaptability to changes

\n\n\n\n\n About us\n \n\nOur vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.","hiringOrganization":{"@type":"Organization","name":"Tesco","sameAs":"https://www.tesco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

We are looking for a data-driven professional who's excited to transform business questions into actionable insights that drive decisions. In this role, you’ll collaborate with commercial teams, to influence strategic planning and elevate business performance. You will work alongside talented and driven data peers in a dynamic environment to create real impact in HousingAnywhere's growth. Excited for the challenge? We are excited to hear from you!

\n\n

Your role & Impact
The purpose of this role is to empower commercial teams with insights and recommendations to grow our marketplace and get the most out of our team:
Collaborate closely with the commercial teams to translate business questions into analyses, synthesise insights and develop recommendations to drive business results.
Define, develop and monitor the key metrics to measure operational performance and business outcomes, and identify drivers for changes in these metrics
Ensure business questions are addressed in the most effective format (ad-hoc deep-dive, recurring analysis, dashboards, self-serving functional tools)
Empower stakeholders to independently leverage data for business insights via dashboards and self-serving tools, in close collaboration with the Analytics Engineering and Business Intelligence teams.
Develop dashboards and reports that support operational business processes.
Support commercial team OKR planning and measurement.
Identify and implement opportunities to enhance existing analytical processes and methodologies

\n\n\n

Your team
Our Commercial Analytics and Business Intelligence team is formed by 4 analysts from diverse backgrounds and experience levels. We collaborate closely with data engineers, analytics engineers, and data scientists to extract insights and drive informed decision-making.

Your Profilerequired:

4+ years experience as a Data Analyst, or equivalent role with a strong data/analytics component.
Analytical mindset, combined with good business sense and orientation.
A good communicator who can present insights and recommendations clearly and persuasively to different audiences.
Self-starter with strong project and time management skills.
Proficient in SQL and Google Sheets, and experience with at least one dashboarding tool (Tableau, Looker, PowerBI, etc.).

Preferred:

Advanced knowledge of at least one statistical programming language (Python, R, etc.) is a plus.
Previous experience in a high-growth, fast-paced tech company is a big plus.
Experience creating interactive dashboards in Tableau.

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What’s in it for you

Unlimited paid holidays, minimum-based not maximum!
Hybrid working policy with 2 days working from the office.
Flexibility to work remotely for up to 2 months per year!
1,000 EUR personal development budget.
Complete coverage for commuting.
30% ruling application assistance.
Personal equipment, including laptop and ergonomic setup.
Gym membership discount with GoVital or OneFit.
Dutch/English classes budget.
Variable pension scheme.
Diverse international community (46+ nationalities).
Pet-friendly office in Rotterdam city centre.
Fun team-building and after-work drinks every Friday.

\n\n

About HousingAnywhere Group
HousingAnywhere is Europe’s largest mid-term rental platform, covering over 125 cities across Europe and several in the US. With Kamernet and Studapart under its umbrella, HousingAnywhere empowers people to live wherever and however they choose. Through our advanced online platforms, which together attract over 30 million users annually, we connect young professionals and students directly with accommodation providers. Our team of 250 professionals is dedicated to helping tenants find comfort and peace of mind in their rental search, whether they're looking for a home across the globe or just across town.

Our mission
Rent Easy, Live Free.

Our Values

Ownership
We are Enablers
We are Changemakers
We are Connectors

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Company Description

With over 75 years of experience and the most extensive international network, Coface is a leader in trade credit insurance & risk management, and a recognized provider of Factoring, Debt Collection, Single Risk insurance, Bonding, and Information Services. Coface’s experts work to the beat of the global economy, helping ~100,000 clients in 100 countries build successful, growing, and dynamic businesses. With Coface’s insight and advice, these companies can make informed decisions. The Group' solutions strengthen their ability to sell by providing them with reliable information on their commercial partners and protecting them against non-payment risks, both domestically and for export. In 2023, Coface employed ~4,970 people and registered a turnover of €1.868 billion.

Coface Bucharest Shared Services Center - a constantly growing team of enthusiastic experts covers daily various processes and roles for Coface entities for all European regions. We do service multiple business lines from commercial to finance and technical with our more than 100 people speaking French, English, German, Italian, Spanish and Romanian. We are all proudly running external and internal client operations at the highest standards of quality and efficiency!

Job Description

Part of Group Operations the Senior Data Analyst is a dynamic and analytical professional responsible for supporting process improvement initiatives within Coface.

This role involves utilizing data visualization tools and process mining techniques to monitor and optimize processes and workflows, as well as creating informative dashboards to track performance metrics.

He/she plays a key role in driving efficiency, reducing bottlenecks, and ensuring the organization operates at its highest potential.

Key Responsibilities:

Process Analysis and Evaluation:

Conduct in-depth analyses of existing business processes using process mining techniques to identify areas for improvement.
Collaborate with teams to gather data and insights for process analysis.
Utilize data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards for process performance assessment.

Performance Monitoring:

Monitor and track process performance using data-driven metrics and process mining tools.
Create and maintain interactive dashboards and reports to provide real-time visibility into process health.
Alert stakeholders to potential issues and recommend corrective actions based on data analysis.

Data Visualization:

Design and create visually compelling and informative data dashboards and reports (Global Operations Dashboard)
Present data findings to stakeholders in a clear and concise manner to facilitate decision-making.
Collaborate with data analysts to improve data visualization techniques

Qualifications

Bachelor's degree in Business Administration, Management, Data Science, or related field (or equivalent experience).
Strong analytical and problem-solving skills, with a focus on data analysis and visualization.
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Familiarity with process mining software and methodologies.
Excellent communication and interpersonal skills.
Ability to work collaboratively in a team environment.
Eagerness to learn and adapt to changing business needs.
Previous experience in process improvement or related roles is a plus.

Additional Information

We Offer You:

Competitive remuneration
Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
Possibility to gain expertise in business information services, trade credit insurance, and finance
Flexibility to work in a hybrid mode, blending remote and on-site work

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Metyis is Growing! We are looking for a Data & Analytics Director with +10 years of experience to join our Data and Analytics team in Amsterdam.

Requirements

Who We Are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What We Offer

Collaborate with C-level executives to drive transformational changes in their business.
Lead, mentor, and manage a high-performing team to deliver impactful data driven solutions for client
Grow business by identifying opportunities to grow client relationships.
Work in multidisciplinary teams and learn from motivated colleagues.
Play a pivotal role in defining and executing data strategies for our clients.
Become part of a dynamic, international team, where you can fast-track your career and lead projects that deliver tangible business results.

What You Will Do

Lead and manage client interactions, building and maintaining long-term, trusted relationships
Act as the client’s go-to partner, fostering collaboration and ensuring alignment with their evolving needs
Bridge the gap between technical data responsibilities and people management, bringing a detailed understanding of how to lead and develop teams, uphold technical excellence, and meet client expectations
Translate business problems into clear analytics solutions
Ensure analytics initiatives deliver measurable business outcomes, tracking KPIs and demonstrating ROI to clients
Take ownership of team delivery quality, change management, and operational ways of working
Serve as a sounding board for client leadership on data and analytics topics
Seek opportunities beyond the scope of current projects, demonstrating a strong entrepreneurial mindset
Partner with clients to define long-term data and analytics strategy, shaping future initiatives and driving innovation
Provide guidance and mentorship to team members while orchestrating the work of the broader team
Foster the team’s growth by developing skills, culture, and ways of working
Contribute to global data initiatives and communities of practice

What You´Ll Bring

Degree in a quantitative field (e.g. computer science, econometrics, AI, engineering, mathematics, physics)
10+ years of consulting or relevant industry experience, including 3+ years at project lead / “Head of” level, with a strong professional network
Strong interpersonal and communication skills, with the ability to influence and align across complex stakeholder environments
Recognized for a problem-solving mindset and the ability to adapt quickly, prioritize effectively, and make sound decisions under pressure
A data-driven leader who understands complex data and inspires and motivates the people behind it
Commercial acumen, with experience identifying and shaping new opportunities
Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning
Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy
Strong understanding of at least one cloud stack (Azure, AWS, GCP)
Proven ability to manage and deliver complex projects, balancing hands-on involvement with strategic oversight, and providing inspiring guidance to team members
Excellent communication skills, with the ability to explain complex analytical concepts in clear, business-oriented terms
High proficiency in MS Office, especially PowerPoint and Excel
Experience in retail and consumer goods is highly advantageous
(Desired) Experience integrating GenAI / LLM solutions into enterprise workflows
Professional fluency in English required

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

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Summary

Digital Futures is looking for aspiring data analytics consultants to join our Future Talent Programme. The Future Talent Programme offers a unique entry point for individuals looking to start their career in technology. The programme begins with free immersive training at the Digital Futures Academy, where trainees gain the essential technical expertise, consulting skills, and practical experience required for success. Following the successful completion of our Academy and attainment of an industry certification, trainees will then be deployed as consultants within high-performing technology teams at one of Digital Futures clients.

Your journey with us

Training – Your journey with Digital Futures starts with 12-weeks of free immersive training, during which our team of expert instructors will help you learn essential technical and consulting skills to prepare you for your career in data. Our training is delivered remotely, with one-to-one mentoring and group project work.
Certification – As part of your graduation from the Digital Futures Academy, you will achieve the Certified Entry-Level Data Analyst with Python (PCED) from the Python Institute. The cost of your certification is covered by Digital Futures.
Employment – Once your deployment has been secured, we will offer you a full-time employment contract with Digital Futures. Throughout this time, you will work as a consultant in a technology team at one of the world’s leading companies, applying your skills to exciting, innovative and impactful projects.

Your Immersive Training

The Data Analytics pathway at the Digital Futures Academy covers the key technical skills and concepts needed to be successful in your first role in data. The technical skills training is underpinned by a comprehensive consulting skills curriculum to ensure that our consultants are workplace ready ahead of starting roles with our clients. Modules taught at the Digital Futures Academy include:

\n\n\n\n\n

Technical Skills

\n\n\n

Consulting Skills

\n\n\n\n\n

Coding fundamentals (Python, SQL)
Exploratory data analysis
Data storytelling and visualisation
Ethics in data and AI
Applied mathematics and statistics
Data model measurement and testing
Insight and decision making

\n\n\n\n\n\n\n

· Machine Learning

Natural language processing
Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini)

\n\n\n\n

· Effective Teamwork

· Business Acumen

· Time Management

· Stakeholder Management

· Presentations

· Agile Methodology

· Being a brand ambassador

· Interview Technique

\n\n\n\n\n\n\n

Being a Digital Futures consultant

Consulting roles with our clients are varied and give you the hands-on opportunities to gain the experience you need for success. As a data analytics consultant, you will be:

Analysing large and complex data sets to identify trends, patterns, and insights.
Developing reports and visualisations to present data in a meaningful way.
Working with the team to identify data quality issues and develop solutions to address them.
Collaborating with business stakeholders to understand their requirements and provide valuable insights to support decision-making.
Assisting with data preparation and cleaning.
Continuously monitoring data performance and provide recommendations for improvement.
Working with generative AI to build solutions.
Staying up to date with the latest data analysis techniques and tools.

What are we looking for?

You don’t need any previous formal education or commercial experience in tech or data to join our Future Talent Programme, as long as you can demonstrate the following:

An understanding of the basics of Python
A genuine interest in tech and how it can help the world
A growth mindset with a commitment to lifelong learning
Self-starting and motivated by personal development
Intellectually curious with strong problem-solving skills
A team player and collaborative in nature
A delivery mindset with the ability to get things done
Truly motivated to take the first step to starting a career in tech

Key Programme Information

Please note the following important information before submitting an application to the Future Talent Programme:

Locations: Following the training, roles with our clients will be located across the UK, including in: London, Stevenage, Bristol, Norwich, Leeds, Sheffield, Halifax and York. You must be available to commute or relocate to one of these locations to apply.
Salary: Upon starting your deployment with one of our clients and becoming a permanent employee of Digital Futures, the salary is:\n\n
Benefits: Once you become a permanent employee of Digital Futures you will have access to:\n\n
You must have the right to work in the UK for your application to be successful
Year 1 - £27,500 per annum plus benefits
Year 2 - £32,000 per annum plus benefits, subject to performance review
a comprehensive benefits package and pension contributions
an Employee Referral Scheme – earn up to £1,000 per referral
an Incentives Scheme which will allow you to access funds for additional training and certifications.

Why join Digital Futures?

Digital Futures is a mission-led technology services company specialising in strategic workforce solutions. Our mission is to accelerate the transition to a skills-based economy and create sustainable employment opportunities across the UK by challenging conventional thinking and bridging the gap between education and industry — equipping exceptional talent from all backgrounds with the skills, knowledge, and confidence to succeed.

Our Future Talent programme focuses on uncovering potential, rather than on background or experience. In doing so, we unlock exceptional talent and help people to thrive in their first role in tech. We focus not only on preparing you for your first consulting role with us, but also on setting you up for success for your future career.

If you have the right mindset and drive, we will help you reach your career goals, preparing you to become a leader of tomorrow.

Digital Futures is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity and inclusion in the workplace.

Individuals seeking employment at Digital Futures are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

By submitting your application, you agree that Digital Futures may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Find out more at https://digitalfutures.com/for-individuals/academy

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Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona and Virginia along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission: to help every person discover and grow their talents!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
Enjoying the Journey: We believe in having fun while working toward our goals.

We are looking for a talented and driven Senior Data Analyst to join our AdNetwork team. You will play a crucial role in optimizing our advertising operations and enhancing the overall performance of our ad campaigns. Your analytical skills, Python expertise, and proficiency in pandas will be instrumental in uncovering valuable data-driven insights that shape our advertising strategies.

Responsibilities:

Collaborate with the AdNetwork team to understand business requirements and objectives related to advertising campaigns.
Collect, clean, and analyze large datasets to identify trends, patterns, and opportunities for optimization.
Develop and maintain data pipelines to ensure smooth data extraction and transformation processes.
Create insightful and actionable reports and dashboards for key stakeholders to track advertising performance metrics.
Conduct in-depth analysis of campaign data to provide actionable recommendations for improving ad targeting, bidding strategies, and performance.
Identify and troubleshoot data quality issues to maintain the accuracy and reliability of the data.
Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and advertising.

Requirements:

Proven work experience as a Data Analyst or in a similar analytical role, 3+ years.
Experience with databases, knowledge of SQL and Python.
Solid understanding of data analysis techniques.
Excellent problem-solving skills and attention to detail.
A proactive and self-driven approach to work, with the ability to work independently and as part of a team.
Experience in the advertising industry or knowledge of ad network operations

Nice To Have:

Management experience.

Join our innovative AdNetwork team and help shape the future of advertising through data-driven insights and impactful strategies. If you are excited about the possibilities of data analysis and love to work with Python and pandas, we encourage you to apply and be a part of our dynamic team.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Join us and help shape the future of mobile app success!

","hiringOrganization":{"@type":"Organization","name":"Appodeal","sameAs":"https://appodeal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Mandatory Internship in the Area of Data Analytics and Generative AI","datePosted":"2025-09-19","description":"

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
\n
\nThe Robert Bosch GmbH is looking forward to your application!

Job Description

During your internship, you will take part in the design, development and testing of a Generative AI application. You will collaborate closely with domain and AI experts, IT professionals and our international team to understand requirements, address challenges and drive the implementation of new Generative AI applications.
You will communicate with various business departments to collect and document requirements, assist in data collection, preprocessing, and annotation tasks, ensuring adherence to company guidelines and best practices for data handling and IT security.
Furthermore, you will support the technical design and implementation of the application, both in the cloud and on-premises.
You will also analyze and interpret results to iteratively improve the chatbot's performance.
In addition, you will participate in discussions, brainstorming sessions and knowledge-sharing activities within the team. You will work closely with cross-functional teams, including marketing, data science and IT, to integrate AI solutions into existing platforms and processes, ensuring alignment with business goals.

Qualifications

Education: studies in the field of Computer Science, Information Technology, Engineering, Data Science, Mathematics or comparable with good grades
Experience and Knowledge: proficiency in programming languages, especially Python, combined with experience in cloud solutions such as MS Azure, GCP, or AWS; experience in implementing chatbots; solid understanding and hands-on experience with machine learning algorithms, natural language processing, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch); high affinity for IT, software development, and/or machine learning
Personality and Working Practice: you are a highly motivated teamplayer with strong analytical and conceptual skills to translate business requirements into technical solutions; you have an independent and structured working style
Enthusiasm: willingness to learn and a strong enthusiasm for exploring new areas of responsibility
Languages: good in English and German

Additional Information

Start: according to prior agreement
Duration: 6 months (confirmation of mandatory internship required)

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Thirunavukarasu Sivagnanam (Functional Department)
+49 711 811 11769

#Li-Dni

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Company Description

WNS Global Services Inc. (NYSE: WNS) is a global Business Process Management (BPM) leader. WNS offers business value to 400+global clients by combining operational excellence with deep domain expertise in key industry verticals, including Banking and Financial Services, Consulting and Professional Services, Healthcare, Insurance, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Telecommunications, Travel and Utilities. Globally, the group’s over 44,000+ Professionals serve across 60 delivery centers in 16 countries worldwide.

WNS Poland - Launched operations in August 2012 with focus on European language capabilities. Key industries served: finance & accounting, insurance, shipping & logistics, customer service and travel.

Job Description

Your Responsibilities

Investment Simulation and Financial Planning: Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning. Develop and run ad-hoc investment choice simulations to inform local decisions. Empower markets with actionable insights.
Meta-Analysis and Knowledge Sharing: Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications Identify Expert growth drivers and support prioritization across BMCs.
Data Quality and Transformation: Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics. Enable reliable and accurate data for value tracking and decision-making.
Data Infrastructure and Automation Support: Transition Expert tracking data to centralised systems. Support implementation of new analytics use-cases requiring data asset access and triangulation.
KPI vs. Market Sales Analysis: Lead end-to-end analysis triangulating Expert KPIs with market share/sales data. Deliver insights to support investor relations and executive decision-making.
Testing and Validation: Design and execute new test-and-learn experiments identified in the 2026-27 roadmap. Improve predictive models and business planning assumptions. Run validation of tools/models

Qualifications

Proven experience with financial modelling and investment simulations within marketing or commercial-related fields (e.g., funnel conversion modelling, what-if simulation, predictive, attribution, propensity modelling, etc)
Strong background in marketing mix modelling (MMM) and advanced data analytics
Proficient in data transformation, audit, and visualization tools (e.g., SQL, Python, Power BI)
Experience with sales/KPI and performance measurement
Ability to synthesize complex data into actionable business insights
Familiarity with enterprise data systems and cloud-based analytics platforms
Excellent translator of business requirements and stakeholder communication

Additional Information

What We Offer

Work for international client
Bonuses based on performance
Benefits (you can choose from a variety of options: MultiSport card, private medical care in Luxmed, cinema tickets, vouchers to different shops, etc.)
Employee Support Program - mental and legal support program dedicated for WNS employees and members of their families
Empowering CSR initiatives - WNS supports charity events

","hiringOrganization":{"@type":"Organization","name":"WNS Global Services","sameAs":"https://www.wns.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gdynia, NA, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Consultant on Data & Analytics Capacity Building (Qualitative Data)","datePosted":"2025-09-19","description":"Project Context and Scope\n\n

Eleven years after the onset of hostilities in 2014, Ukraine continues to navigate a complex, dynamic path toward nationwide socio-economic recovery and decentralization. Since the major escalation in 2022, the capacities of hromadas to assess and address community needs have varied and are often insufficient. Locally led recovery therefore requires targeted support at the hromada level to strengthen inclusive governance and evidence-based decision-making, including for the effective targeting and coordination of interventions.

Resource scarcity and limited employment opportunities—across rural and urban areas—have fuelled tensions and perceptions that the needs of internally displaced persons (IDPs) and returnees are prioritized over those of long-term residents who often face similar socio-economic challenges. A further pressure point is the reintegration of veterans (former combatants), who, during the transition from military to civilian life, must regain socio-economic independence and re-establish psychological and physical well-being to reintegrate peacefully. Current public services provide uneven access to inclusive economic opportunities and often insufficient, specialized psychosocial support tailored to veterans’ needs.

Through the proposed intervention, IOM aims to bolster the stability of conflict-affected communities by promoting evidence-based, community-driven actions that support social cohesion and veteran reintegration.

To advance hromada-driven recovery that strengthens resilience and promotes durable solutions, IOM is organizing training on evidence-based situation analysis, with an emphasis on locally conducted qualitative research (e.g., focus group discussions). Based on assessed capacities and needs of communities and local organisations, the Senior Consultant will supervise and coordinate the planning and implementation of training activities that build local capacity for gender-, age-, and disability-disaggregated data collection and analysis, aligned with international standards and IOM’s internal toolbox. This will enhance the generation and use of evidence for recovery-related decision-making.

These activities will help strengthen local resilience and support the development of locally defined recovery plans that are empirically grounded and continually adapted to changing contexts and needs. Training content and pedagogy will be tailored to the Ukrainian local context.

The Senior Consultant, supported by the Consultant on Data & Analytics Capacity Building, will coordinate and deliver all training. Materials and sessions will target the following learning objectives:

Understand foundational principles of qualitative and quantitative methods and select appropriate data-collection tools for local practice.
Prepare and conduct household surveys, key informant interviews, and focus group discussions.
Collect and manage gender-, age-, and disability-disaggregated data sensitively and inclusively.
Apply basic techniques for data cleaning, analysis, and responsible data sharing.
Adhere to confidentiality, informed consent, and data-protection principles and guidelines.
Translate data insights into local decision-making in line with authorities’ responsibilities under decentralization.
Recognize how data and analytics can improve local administrative planning and recovery operations.

Two training programmes with following mentorship support are planned: one for organisations supporting veteran reintegration and one for five selected hromadas.

\n\nOrganizational Department / Unit to which the Consultant is contributing\n\n\n Data & Analytics Unit\n\n\nTasks to be performed under this contract
\n\n

Category B Consultant hired to deliver a curriculum of training materials and implement trainings supported by the Consultant on Data & Analytics Capacity Building.

Tangible and measurable outputs of the work assignment

First deliverable – All relevant training materials for organisations supporting veteran reintegration including three-day course and a series of practical exercise and a structured program of mentoring; and a comprehensive plan and timetable for delivery of trainings, including all details of participants selected (based upon assessed needs and capacities) and logistical arrangements required, all developed in collaboration with assisting Consultant and hromada representatives. – Delivered by November 14, 2025.
Second deliverable –Completion of one on-site training session (over three days) for all selected organizations. – Delivered by December 14, 2025.
Third deliverable – Completion of all remote mentoring activities, including practical exercises, for all selected hromadas. – Delivered by January 14, 2026.
Fourth deliverable – All relevant training materials for five selected hromadas including three-day course, and a series of practical exercise and a structured program of mentoring; and a comprehensive plan and timetable for delivery of trainings, including all details of participants selected (based upon assessed needs and capacities) and logistical arrangements required, all developed in collaboration with assiting Consultant and hromada representatives. – Delivered by February 14, 2026.
Fifth deliverable – Completion of one on-site training session (over three days) for all selected hromradas – Delivered by March 14, 2026.
Sixth deliverable – Completion of all remote mentoring activities, including practical exercises, for all selected hromadas. – Delivered by April 14, 2026.
Seventh deliverable – Completion and submission of a report of recommendations (in English) on further capacity building needs and responses, Final report (in English) and all administrative responsibilities completed. - Delivered by May 14, 2026.

\n\n \n\n\nPerformance indicators for the evaluation of results\n\n

Consultant is responsive to IOM engagement on planning and implementation of trainings
Deliverables are submitted on time
Trainings and training materials are delivered in a manner that is technically sound yet accessible for non-technical audience

\n\nEducation, Experience and Skills\n\n\n

Master's degree in Social Sciences, Data Analytics, Adult Education, or related field with a minimum of four years of relevant experience; OR a bachelor’s degree in a similar field with a minimum of six years of relevant experience.
Knowledge and experience of working with one or more quantitative software tools is required, e.g., MS Excel, Stata, SPSS and KoboToolbox.
Extensive experience in developing trainings/capacity building materials on data analytics and assessment development, especially for use by local government or organizations
Experience in conducting trainings of local government and/or civil society organizations in Ukraine would be a distinct advantage.
Experience in managing teams, particularly in relation to training/capacity building.
Experience of working with UN, NGOs, CSOs and/or government authorities.
Knowledge and experience of working on displacement issues is desirable.

\n\n\nLanguages\n\n\n

English – working knowledge
Ukrainian – fluency required

\n\n\nTravel required\n\n\n

It is anticipated that the work of the Senior Consultant may involve some travel to the regions of Ukraine.

\n\n\nRequired Competencies\n\n\n \n\n\n IOM’s competency framework can be found at this link. Competencies will be assessed during the selection process.\n\n\n \n\n\n Values - all IOM staff members must abide by and demonstrate these three values:\n\n\n

Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
Courage: Demonstrates willingness to take a stand on issues of importance.
Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated.

\n\n\nCore Competencies – behavioural indicators\n\n\n

Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
Delivering results: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.
Managing and sharing knowledge: Continuously seeks to learn, share knowledge and innovate.
Accountability: Takes ownership for achieving the Organization’s priorities and assumes responsibility for own actions and delegated work.
Communication: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.

\n\n\nNotes\n\n\n

Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.
Appointment will be subject to certification that the candidate is medically fit for appointment, verification of residency, visa, and authorizations by the concerned Government, where applicable.
IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy. IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses. Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.
IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.
IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.
IOM only accepts duly completed applications submitted through the IOM online recruitment system. The online tool also allows candidates to track the status of their application.

\n\n\n For further information and other job postings, you are welcome to visit our website: IOM Careers and Job Vacancies","hiringOrganization":{"@type":"Organization","name":"IOM - UN Migration","sameAs":"https://www.iom.int/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kiev, Ukraine","addressCountry":"Ukraine","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Consultant on Data & Analytics Capacity Building (Qualitative Data)","datePosted":"2025-09-19","description":"Project Context and Scope\n\n\n\n

Eleven years after the onset of hostilities in 2014, Ukraine continues to navigate a complex, dynamic path toward nationwide socio-economic recovery and decentralization. Since the major escalation in 2022, the capacities of local hromadas to assess and address community needs have varied and are often insufficient. Locally led recovery therefore requires targeted support at the hromada level to strengthen inclusive governance and evidence-based decision-making, including for the effective targeting of interventions.

\n\n\n

In an effort to support hromada-driven recovery processes that strengthen resilience and promote durable solutions for conflict-affected communities in Ukraine, IOM is conducting trainings on evidence-based situation analysis based on locally conducted qualitative research in the form of focus groups. Based on communities’ and local organisations’ assessed capacities and needs, the Consultant on Data & Analytics Capacity Building, under the supervision of the Senior Consultant, will support the planning and implementation of training activities that build local capacities on qualitative data collection (disaggregated by gender, age, and disability) and analysis in line with international standards and IOM’s internal toolbox, thereby enhancing their capacity to generate evidence for decision-making in the recovery sphere.

\n\n\n

This will serve to strengthen local resilience and support the creation of locally defined recovery plans that are empirically based and continually adapted according to the changing context and needs. To this end, the content and pedagogy of the training materials will be developed such that they are sensitive and reflective of the local context in Ukraine.

\n\n\n

Under the technical direction of the Senior Consultant, the Consultant on Data & Analytics Capacity Building will assist in coordinating and delivering all trainings. The training materials and sessions to be delivered will reflect the following learning objectives:

\n\n\n

Understanding of the basic principles of quantitative and qualitative research methods and selection of appropriate data collection tools (targeted at local level practitioners)
Understanding how to prepare and conduct household surveys, key informant interviews and focus group discussions
Understanding the importance of collecting data that is gender-disaggregated and sensitive to vulnerability
Understanding of the basics in cleaning and analyzing data, as well as data sharing
Knowledge of principles and guidelines related to confidentiality, informed consent and data protection
Capacity to apply data insights to local level decision-making, in line with responsibilities held by local level authorities in Ukraine following the decentralization process
Awareness of the potential for data and analytics to improve local administrative planning and operations for recovery

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

The Consultant on Data & Analytics Capacity Building will support the delivery of one training program for organizations supporting former combatants seeking reintegration and another one for five local hromadas.

\n\n\n\n \n\n\nOrganizational Department / Unit to which the Consultant is contributing\n\n\n Data & Analytics Unit\n\n\nTasks to be performed under this contract\n\n\n

Category B Consultant hired to deliver trainings to hromada representatives, to provide mentorship support in applying acquired skills and contribute to the development of a curriculum of training materials.

\n\n\n

Tangible and measurable deliverables of the work assignment

\n\n\n

First deliverable – Completion of one on-site training session (over three days) for all selected organizations. – Delivered by November 30, 2025
Second deliverable – Completion of all remote mentoring activities, including practical exercises, for all selected hromadas. – Delivered by December 31, 2025
Third deliverable –All relevant training materials for five selected hromadas including three-day course, and a series of practical exercise and a structured program of mentoring; and a comprehensive plan and timetable for delivery of trainings, including all details of participants selected (based upon assessed needs and capacities) and logistical arrangements required, all developed in collaboration with assisting Consultant and hromada representatives. – Delivered by January 31, 2026
Fourth deliverable – Completion of one on-site training session (over three days) for all selected hromradas. – Delivered by February 28, 2026
Fifth deliverable – Completion of all remote mentoring activities, including practical exercises, for all selected hromadas. – Delivered by March 31, 2026

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nPerformance indicators for the evaluation of results \n\n\n\n

Consultant is responsive to IOM engagement on planning and implementation of trainings.
Deliverables are submitted on time.
Trainings are delivered in a manner that is technically sound yet accessible for non-technical audiences.

\n\n\n\n\n\n\n\n\n\n\n\nEducation, Experience, Skills\n\n\n\n

Master's Degree in Social Sciences, Data Analytics, Adult Education, or related field with a minimum of three years of relevant experience; OR a Bachelor’s Degree in a similar field with a minimum of five years of relevant experience.
Experience in training on data analytics and assessment development, especially for use by local government or organizations.
Experience in conducting trainings of local government and/or civil society organizations in Ukraine would be a distinct advantage.
Experience in working as part of a team, as well as independently, particularly in relation to training/capacity building.
Experience of working with UN, NGOs, CSOs and/or government authorities would be an asset.
Knowledge and experience of working on displacement issues is desirable.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLanguages\n\n\n

Ukrainian – fluency required.
English - working knowledge will be an advantage

\n\n\n \n\n\nTravel required\n\n\n

It is anticipated that the work of the Consultant will require travel across Ukraine.

Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
Courage: Demonstrates willingness to take a stand on issues of importance.
Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated.

\n\n\nCore Competencies – behavioural indicators\n\n\n

Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
Delivering results: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.
Managing and sharing knowledge: Continuously seeks to learn, share knowledge and innovate.
Accountability: Takes ownership for achieving the Organization’s priorities and assumes responsibility for own actions and delegated work.
Communication: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.

\n\n\nNotes\n\n\n

Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.
Appointment will be subject to certification that the candidate is medically fit for appointment, verification of residency, visa, and authorizations by the concerned Government, where applicable.
IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy. IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses. Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.
IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.
IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.
IOM only accepts duly completed applications submitted through the IOM online recruitment system. The online tool also allows candidates to track the status of their application.

\n\n\n For further information and other job postings, you are welcome to visit our website: IOM Careers and Job Vacancies","hiringOrganization":{"@type":"Organization","name":"IOM - UN Migration","sameAs":"https://www.iom.int/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kyiv, Ukraine","addressCountry":"Ukraine","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide. 

As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.

Role: Data Analyst – Management Information
Location: India (Remote)
A little bit about the role:

\n\n\n

We are seeking a Management Information Data Analyst with advanced AI skills who can utilize machine learning models to optimize SQL query development and dataset management. The ideal candidate should be well-versed in data visualization tools such as ZOHO and Power BI, with a proven ability to create compelling reports and dashboards according to specific requirements. This role requires a strong aptitude for interrogating and validating data, working collaboratively with stakeholders to ensure data integrity.

As a subject matter expert, you will propose innovative methods for presenting key metrics to stakeholders, ensuring clear and impactful communication of data-driven insights. You should have excellent verbal and written English skills to facilitate client interactions as needed. Additionally, you will support teams by preparing PowerPoint presentations for monthly MI reports, Quarterly Business Reviews, and handling various ad hoc reporting requests.

What You'Ll Be Doing:

Design and execute custom SQL queries to resolve complex data inquiries and integrate AI into daily business operations.
Develop reports and management information (MI) dashboards that adhere to project briefs and client key performance indicators (KPIs), utilizing tools such as PowerPoint, ZOHO Analytics, and Microsoft Power BI.
Collaborate with the account team to ensure data integrity and maintain accurate MI data.
Apply best practices to guarantee complete data capture for effective KPI measurement.
Analyse and present data to fulfil stakeholder requirements, ensuring insights are clear and actionable.
Understand and collaborate with clients to deliver tailored solutions that meet their specific needs.
Attain proficiency in our proprietary tools, including OMG and the AI Sandbox.
Grasp diverse client business models to improve the relevance and quality of provided reports.
Manage and maintain the client-facing dashboard on a daily basis.
Conduct data impact analysis to assess changes and their implications.
Set up and deliver weekly and monthly reports and MI packs.
Oversee data hygiene management to ensure data cleanliness and track any issues.

\n\n\n\n\n\n\n\n\n\n\n\n

What You'Ll Need:

Strong problem-solving skills and experience in client-facing roles.
Exceptional attention to detail and accuracy.
Ability to work efficiently in a fast-paced environment with excellent time management and prioritization skills.
Competence in understanding requests and delivering insightful reports.
Experience in handling large and complex datasets.
Advanced skills in Excel, including pivot tables, complex formulas (such as VLOOKUPs and nested IF statements), and proficiency with Power Query and Python for Excel.
Proficiency in data visualization tools like ZOHO and Power BI.
Competency in SQL and Python programming languages.
Proficiency in utilizing AI technologies and various large language models (LLMs) to enhance role efficiency.
Experience in agency and marketing environments is an advantage.
Confidence in engaging effectively with senior internal and external stakeholders.
Our values shape everything we do:
Be Ambitious to succeed 
Be Imaginative to push the boundaries of what’s possible 
Be Inspirational to do groundbreaking work 
Be always learning and listening to understand 
Be Results-focused  to exceed expectations 
Be actively pro-inclusive and anti-racist across our community, clients and creations

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. 

Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'

","hiringOrganization":{"@type":"Organization","name":"OLIVER+","sameAs":"https://www.oliverplus.agency/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India (Remote)","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

Company Description

Generix is a leading SaaS vendor specializing in Collaborative Supply Chain solutions that enable the seamless exchange of goods and data across the globe between suppliers and customers, all while responsibly managing their flows. Its platform of innovative digital services optimizes the management of physical flows, by coordinating the entire supply process, from production to delivery, thanks to its WMS, TMS, RMS and VMI solutions; as well as logical and financial flows, by integrating the systems of all players in the chain, from order to payment, with its e-invoicing, e-reporting, EDI, P2P and O2C solutions.

Generix creates a distinctive ecosystem designed to cater to its customers, ensuring top-notch performance and sustainability, connecting all global players in retail, industry and services, and fostering the transition toward greater digitalization and energy efficiency. With nearly 850 dedicated employees, Generix provides day-to-day support to over 4,500 companies across more than 60 countries, processes over 500 million invoices, handle more than 40 million order lines each month, and manage 8 million EDI messages daily. Our clientele includes Danone, FM Logistic, Fnac-Darty, Essilor, and Ferrero.

Job Description

The Senior Data Analyst specialising in Power BI and Supply Chain Expertise at Generix is responsible for developing, maintaining, and optimising interactive dashboards and reports to support various business functions, particularly focusing on supply chain optimisation. This role plays a crucial part in analysing supply chain data to identify trends, inefficiencies, and opportunities for process improvements, ultimately driving operational excellence and strategic decision-making.

Here'S What You'Ll Be Doing:

Develop, maintain, and optimise interactive dashboards and reports using Power BI to support various business functions, with a focus on supply chain optimisation.
Design and implement advanced multidimensional models, particularly focusing on SCD2, to ensure accurate representation of data changes over time.
Analyse supply chain data to identify trends, inefficiencies, and opportunities for process improvements.
Collaborate with supply chain stakeholders to understand analytics needs and translate them into actionable insights.
Maintain high standards of data quality and integrity within all analytics outputs.

These objectives are not exhaustive and will evolve according to identified needs and current projects.

Qualifications

Proficiency in Power BI development, including advanced dashboard creation, DAX functions, and data modeling techniques.
Mastery of multidimensional modeling concepts, particularly focusing on SCD2 methodologies, within the context of Power BI.
Understanding of best practices and standards in data visualisation, ensuring the creation of compelling and insightful dashboards in Power BI.
Experience with dbt or Similar Tools: Proficiency in data transformation and workflow optimization using dbt or equivalent technologies.
Knowledge of industry-standard data governance and security practices relevant to Power BI development and deployment.
Familiarity with emerging trends and advancements in Power BI technology, such as integration with AI and machine learning capabilities, to enhance analytical capabilities.
Deep understanding of supply chain concepts and metrics, with the ability to apply data analytics to solve supply chain challenges.
Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field.
5 years of experience in data analysis, business intelligence, or related roles, with a focus on Power BI development and supply chain analytics experience.
English or French Level: fluent

Additional Information

Access to modern tools and technologies.
A chance to make a meaningful impact on enterprise product quality.
Opportunities for career growth and development.
Soft skills and Technical Trainings, Workshops, Conferences, and attendance of different similar events

","hiringOrganization":{"@type":"Organization","name":"Generix Group","sameAs":"https://www.generixgroup.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cluj-Napoca, CJ, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Contract Data Analytics Facilitator","datePosted":"2025-09-19","description":"

About The Business

For over 80 years, the Australian Institute of Management (AIM) has empowered individuals and organisations to thrive with industry-focused education solutions. AIM has developed over 100 short courses and Vocational Qualifications to help our students advance their skills and career, regardless of industry and experience. Today, AIM is the market leader in corporate education and training. Our unmatched breadth and depth of programs enables us to support organisations to drive team engagement and growth objectives.

About The Role

The Contract Data Analytics Facilitator role at AIM offers a dynamic opportunity to lead engaging learning experiences across Data Analytics courses for non-tech professionals. You'll be responsible for delivering high-quality, interactive training to adult learners in corporate settings, using a mix of face-to-face, virtual, and blended formats. Whether working with small teams or large cohorts, your role will focus on creating a collaborative and results-driven learning environment that meets the needs of today’s workforce.

This role is ideal for someone who combines strong subject matter expertise with a passion for adult education. You’ll work closely with AIM’s program and delivery teams to stay ahead of industry trends, refine content, and support ongoing innovation in learning delivery. If you enjoy bringing complex digital concepts to life and empowering learners with real-world skills, this contract opportunity is a great fit.

Seeking applicants based in Sydney, Melbourne or Brisbane for face-to-face delivery.

Please note: Successful candidates will be engaged as independent contractors and must have their own ABN or ACN.

Key Responsibilities

Deliver engaging and effective training sessions (face-to-face, virtual, and blended) in Data Analytics.
Apply adult learning principles to design and facilitate impactful learning experiences tailored to professional audiences.
Manage group dynamics, encourage active participation, and foster inclusive learning environments.
Continuously update content knowledge and integrate emerging trends or technologies into course delivery.
Collaborate with internal teams to enhance course relevance, interactivity, and learner outcomes.
Provide feedback and insights to support course refinement and learner engagement.

About You

Proven experience facilitating AI courses or learning experiences in professional learning environments.
Strong understanding of adult learning principles and best-practice facilitation techniques.
Confident delivering training across diverse formats, including online, in-person, and hybrid.
Adept at managing varied learner needs and adapting delivery in real time.
Tech-savvy with experience using virtual learning platforms (e.g., Zoom, Teams, LMS).
Tertiary qualification in education, training, or relevant technical field is desirable.
Passionate about continuous learning, innovation, and enabling workplace capability.

","hiringOrganization":{"@type":"Organization","name":"Scentia","sameAs":"https://scentia.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney CBD, New South Wales 2000, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Marketing Data & Analytics Specialist","datePosted":"2025-09-19","description":"

About The Role:

We are seeking an intermediate-level Econometrics Statistician specializing in Marketing Mix Modelling (MMM) and data science. This position is responsible for running monthly and quarterly models for multiple business categories. You will integrate diverse datasets—point-of-sale (POS) performance, media investment, PR impressions, seasonality, and brand equity tracking—to deliver actionable business insights. A high level of proficiency in Python, data API utilization, and advanced data cleansing is required.

You'Ll Be Responsible For:

Build, execute, and refine marketing mix models (MMM) across multiple business units, delivering monthly and quarterly reporting to stakeholders
Integrate large, disparate datasets including POS sales, media spend, PR activity, seasonality, and brand tracking, ensuring all sources are accurate, timely, and modelling-ready
Conduct detailed data extraction, transformation, validation, and extensive data cleansing to support robust statistical modelling
Automate ingestion and management of data feeds using APIs and Python for efficient, repeatable processes
Apply advanced econometric and statistical techniques to quantify drivers of sales and track performance across channels
Present model findings and actionable recommendations to business stakeholders; translate complex outcomes into clear business narratives
Collaborate with cross-functional teams including category managers, finance, and marketing to ensure business alignment with modelling insights
Maintain rigorous documentation on modelling methodology, variable selection, and process flows for audit and knowledge-sharing purposes
Stay current on best practices in data science, machine learning, and MMM methodology.

Requirements:

Bachelor’s or Master’s degree in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative field
3+ years proven experience in marketing mix modelling, econometric/statistical analysis, or marketing analytics delivery in a business context
Advanced proficiency in Python, including data science libraries (pandas, numpy, scikit-learn, statsmodels)
Demonstrated expertise in data cleansing, preprocessing, and API-based data integration
Experience working with large, multi-source datasets including sales, advertising, media, and brand data
Strong analytical skills and practical knowledge of statistical and machine learning methods relevant to MMM.
Excellent communication skills: ability to explain technical results to both technical and non-technical audiences
Experience with data visualization tools (Looker, Power BI, or similar) is a plus
Professional curiosity and collaborative outlook; comfortable working in fast-paced, dynamic environments.
Experience integrating and modelling brand equity, media, and PR data within MMM frameworks.

Preferred Qualifications:

Familiarity with retail category management and/or working across multiple CPG business units.
Experience with other analytical tools such as R or SQL.

This role is ideal for a hands-on statistician enthusiastic about leveraging advanced econometric tools for real-world marketing and business optimization.

------------------------------------------------------------

Unilever Canada is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, marital status, family status, disability, genetic characteristics, and a conviction for which a pardon has been granted.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com. Please note: These lines are reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.

Unilever Canada est une organisation engagé à la diversité et à l'inclusion pour stimuler nos résultats d'affaires et créer un meilleur avenir chaque jour pour nos employés, les consommateurs globaux, les partenaires et les communautés. Nous croyons qu'un effectif diversifiée nous permet de faire correspondre nos ambitions de croissance et de stimuler l'inclusion dans l'entreprise. Tous les candidats qualifiés recevront la considération pour un emploi sans égard à la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité ou l'expression de genre, l'âge, l'origine nationale ou ethnique, l'état matrimonial, la situation familiale, l'invalidité, les caractéristiques génétique, et une condamnation pour laquelle un pardon a été accordée.

Si vous êtes une personne handicapée qui a besoin d'aide à tout moment au cours de notre processus de recrutement, veuillez communiquer avec nous au NA.Accommodations@unilever.com. Veuillez noter: ces lignes sont réservées aux personnes handicapées ayant besoin d'aide et ne sont pas un moyen d'enquêter sur les postes.

","hiringOrganization":{"@type":"Organization","name":"Unilever","sameAs":"https://www.unilever.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data Analytics Intern","datePosted":"2025-09-19","description":"

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

About This Internship

Arch’s internship program offers students a unique opportunity to gain hands on experience in the insurance industry. It provides challenging learning experiences that serve as a foundation for interns to explore their career choices and to develop professional skills. Working alongside some of the most talented members of the specialty insurance industry, interns will gain relevant expertise in various aspects of the field, participate in learning activities and receive ongoing feedback.

About This Role

Collect, clean, and prepare data for analysis, ensuring data integrity and completeness.
Perform basic descriptive and trending analysis.
Partner with stakeholders to develop data-driven solutions for their challenges.
Compile analysis results into structured reports, ensuring clarity and coherence. This involves writing summaries and conclusions based on data analysis.
Utilize version control systems (e.g., Git) to manage changes to analysis scripts and documentation, ensuring that updates are tracked, and previous versions can be retrieved if necessary.

Qualifications

Actively completing graduate degree in Data Science, Computer Science, Computer Engineering, Information Systems, Business Analytics, or related program.
Minimum 3.0 GPA or higher.
College level – Junior or Senior student with graduation dates between December 2026 and May 2027.
Proficiency in SQL and Pythton required. Awareness of additional analytics tools/languages a plus.
Fundamental understanding of data visualization tools and design, including Tableau or Power BI, preferred.
Familiarity with cloud-based technologies required. Exposure to Azure preferred.
Data governance familiarity and framework experience with Data Quality, Meta Data Management, Data Lineage, Data Management Principles (Data Storage) a plus.
Proficient in MS Office suite of tools and in particular Excel and PowerPoint
Broad analytical, problem solving and organizational skills.
Entrepreneurial spirit along with the desire to be a continuous learner.
Team player who collaborates effectively.
Self-starter who can work independently and deal effectively with multiple tasks/priorities in a fast-paced environment.

Location & Work Arrangement

The program dates are June 1, 2026 - August 7, 2026.
This position is classified as a hybrid position. You will work 2 days onsite and 3 days from home.
This position is located in Washington, DC.
Relocation and housing assistance is not provided for this role.

Pay

For individuals assigned to or hired to work in Washington, DC, the hourly rate is $26 as of the time of posting. The breadth in the range exists to accommodate students in specialized programs such as actuarial candidates and graduate students. Any actual rate offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, along with the education & qualifications of the candidate. The above range may be modified in the future. Intern position is eligible for select Arch benefits.

#Li-Kk1

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

10200 Arch Capital Services LLC","hiringOrganization":{"@type":"Organization","name":"Arch Capital Group Ltd.","sameAs":"https://www.archgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Analytics Analyst","datePosted":"2025-09-19","description":"

Job Summary

Are you passionate about building robust data pipelines and enabling scalable analytics? Join us as a Data Analytics Analyst and help shape the backbone of our data infrastructure. In this entry-level role, you’ll work closely with senior engineers and analysts to support data ingestion, transformation, and delivery across business units. You’ll gain hands-on experience with SQL, Microsoft Fabric, and cloud-based data flows—developing the skills to power real-time reporting and actionable insights in a global environment.

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products. As part of our Global Business Services (GBS) team, we focus on enabling operational excellence through data, technology, and continuous improvement.

The role is based in Oviedo, Asturias with a hybrid work model. Be part of a technically driven, collaborative, and forward-thinking team where together we build the data foundations that drive smarter decisions. Your potential is our inspiration.

Where You’ll Make a Difference

As a Data Analytics Analyst, you’ll be instrumental in building and maintaining the data infrastructure that powers our reporting and insights.
You’ll support the development of scalable data flows and pipelines, assist in data ingestion and transformation, and ensure the reliability of our backend analytics systems.
You will be working closely with senior engineers and analysts helping streamline data operations and enable faster, more accurate decision-making across business units.
Your work will directly impact how data moves, connects, and delivers value across the organization.

What Makes You the Right Fit

We’re looking for someone with a strong technical foundation and a passion for data engineering:

Education: Bachelor’s degree in computer science, Data Engineering, Statistics, or a related field
Experience: 0–2 years in a data or analytics-related role
Skills:
Solid understanding of SQL and relational databases
Familiarity with Microsoft Fabric, Power BI, or other BI platforms
Exposure to data pipelines, ETL/ELT processes, and cloud-based data tools
Strong attention to detail and problem-solving mindset
Ability to work collaboratively and learn quickly in a fast-paced environment

How Would You Stand Out?

While not mandatory, the following would make you an exceptional candidate:

Hands-on experience with data orchestration tools (e.g., Azure Data Factory, Apache Airflow)
Exposure to Python or Spark for data manipulation and automation
Understanding of data modelling and data governance principles
Familiarity with version control (e.g., Git) and agile development practices
A proactive attitude, curiosity for emerging technologies, and a drive to optimize backend data processes

Why Choose Us?

Be part of a global company recognized for innovation in flavors, fragrances and bioscience.
Work in a hybrid model from our Oviedo office, combining flexibility with collaboration.
Join a team that values technical excellence, continuous learning and data-driven decision-making.
Contribute to impactful projects that support strategic business operations across the organization.
Grow your career in a supportive environment with access to cutting-edge tools and technologies.
Enjoy a competitive salary and comprehensive benefits package designed to support your well-being and professional growth.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

#Li-Af1

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.
Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
Assumes informal/formal leadership role through coaching and training of new recruits.
Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
Leads system change process from requirements through implementation; provides user and operational support of application to business users
Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

5-8 years experience using tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated inter-personal, verbal and written communication skills

Education:

Bachelor’s/University degree or equivalent experience

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Data Analytics

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Primary Location:

Irving Texas United States

------------------------------------------------------

Primary Location Full Time Salary Range:

$96,400.00 - $144,600.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Anticipated Posting Close Date:

Sep 25, 2025

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.

The Analytics Team

At Arity, our Business Intelligence team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, extract meaningful insights, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.

Where good people build rewarding careers.

This is a Summer 2026 internship for students currently enrolled in a degree program. This role is responsible for the use and development of the data that powers analytics projects for internal and external audiences. This person partners with others on work with data analysts and analytic engineers on tactical solutions. This role will participate on new ETL work tracks for Business Intelligence from inception and prototyping to fully developed solutions. This is a highly dynamic position that requires a greater degree of flexibility, analytic agility, and the ability to rapidly adapt to changing business requirements/needs, new technologies, and data sources. This role also requires business acumen in order to output the best technical solutions.

Job Description

Utilize a multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge
Work with other Data Analytic Engineers, Data Analysts, and business partners on embedded cross-functional teams; developing subject matter expertise in the business as well as data analytics
Execute on requirements to develop datasets for use by Data Analysts and business users
Execute rapid development of new data work tracks with fast iteration over quick sprints
Leverage and enhance the data infrastructure required to support Analytic needs, including AirFlow, GCP Composer and BigQuery.
Build test scripts, execute testing, work with data engineers, analysts and business partners to ensure end user acceptance
Contribute to an environment that supports innovation and process improvement
Contribute to the development of corporate research data files, information platforms or data spaces designed for exploring and understanding the data
Demonstrate analytic agility to meeting fluid and dynamic business needs in this space

Job Qualifications

Target start date: May/June 2026
Currently pursuing and will be completing a bachelor’s degree in a field such as Computer Science or equivalent skills
Basic familiarity with Python and/or Scala and SQL
Familiarity with the software development lifecycle and source control (Github)
Basic familiarity with visualization tools such as Tableau or Looker
Computer Proficiency in Linux and bash
Experience in time and task management
Ability to learn new technologies
Strong attention to detail
Intermediate written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels

Preferred:

Currently pursuing a master’s degree in a field such as Computer Science or Data Analytics
Development knowledge and experience in Spark or other distributed processing frameworks
Familiarity with statistical concepts and related technology (scikit-learn, pandas, tensorflow) or geospatial analysis a plus

At Arity, great things happen when our people work together.

That’s why when you join our team, we make sure it isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together

Compensation offered for this role is between $20 and $42 an hour and is based on experience and qualifications.

Skills

Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Results-Oriented

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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Company:

Description:

Prepares data and runs reports for growth target summaries, revenue analyses, solution penetrations and go-to-market scorecards for review by Data Analytics & Insight colleagues.
Completes all list select activity accurately and on schedule to ensure project deadlines are met.
Documents pertinent project information to aid back-end research and analysis.
Assists in efforts to standardize reporting across business units and regions by following established processes and methodology.
Performs detailed error-checking and data validation to identify and resolve potential data integrity and reporting issues.
Provides support for ad hoc queries and special projects to support activities related to business.

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.","hiringOrganization":{"@type":"Organization","name":"Marsh McLennan","sameAs":"https://www.marshmclennan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram - DLF Building, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Associate Data Analytics Consulting","datePosted":"2025-09-19","description":"

Job Description & Summary

Wil jij je kennis en kunde op het gebied van data analytics inzetten om maatschappelijk vertrouwen te creëren en grote thema's aan te pakken? Wij bieden je de mogelijkheid om werkzaam te worden binnen het Data Analytics Consulting-team. Dit is een multidisciplinair team dat zijn analytische vaardigheden inzet om praktische oplossingen aan te dragen voor complexe vraagstukken binnen de publieke, commerciële en financiële sector. We doen dit door voor onze klanten modellen, applicaties en datagestuurde oplossingen te ontwikkelen die gebaseerd zijn op geavanceerde technologieën, waaronder machine learning, artificial intelligence en cloud-oplossingen.

Dit ga je doen

Als onderdeel van het Data Analytics Consulting-team zet je je analytische vaardigheden in om praktische oplossingen te bedenken voor complexe vraagstukken in de publieke, commerciële en financiële sector. Wij maken breed gebruik van analytics. Bijvoorbeeld voor bedrijfsmodellering, risicobeheer, financieel risicobeheer, procesoptimalisatie, ondersteuning van de besluitvorming op bestuursniveau, prestatiebeheer, gegevensbeheer, customer analytics en predictive analytics. Als consultant Data Analytics werk je in een dynamisch team met een passie voor de vakgebieden waarop iedereen is afgestudeerd: econometrie, statistiek en/of wiskunde. Door jouw expertise te combineren met de onze kunnen wij praktische adviezen en inzichten bieden bij de aanpak van complexe problemen en thema's, zodat we samen met de klant innovatieve oplossingen en superieure resultaten kunnen neerzetten.

Hier herken jij jezelf in

Als consultant Data Analytics wil je relaties opbouwen en verder ontwikkelen, het verschil maken en je eigen potentieel en dat van je collega's maximaal benutten. De ideale kandidaat voor deze juniorfunctie:

Je hebt een master (MSc) in econometrie, wiskunde, statistiek, kunstmatige intelligentie, machine learning, computerwetenschappen of een andere bèta-studie en je bent met goede resultaten afgestudeerd;
Je hebt goede programmeervaardigheden in programma's als Python, R of SQL
Je hebt communicatieve en commerciële kwaliteiten;
Je combineert heldere communicatie met technische kennis, zodat je toegevoegde waarde biedt voor klanten, ongeacht hun eigen analytische kennis;
Je bent een ambitieuze teamspeler die graag kwaliteit levert;
Je hebt een goede (mondelinge en schriftelijke) beheersing van de Engelse taal. Nederlands is een pre.

Dit Bieden Wij

We geloven in de kracht van een inclusieve cultuur en vinden het belangrijk dat iedereen zichzelf kan zijn. We bieden je toegang tot het wereldwijde PwC netwerk, waarin je jouw kennis, ideeën en vragen kunt uitwisselen met ervaren professionals op consulting gebied én andere disciplines. Daarnaast bieden wij:

Veel trainingen en cursussen die bijdragen aan jouw persoonlijke en vakinhoudelijke ontwikkeling, zoals: Presentatie skills, Pyramid Thinking en Consulting Experience.
Een passend salaris en uitgebreide arbeidsvoorwaarden, waaronder een ‘well-being budget’. Dit is een persoonlijk jaarlijks budget van € 1.000,- uit te geven aan jouw gezondheid, zoals: mindfulness, sport, lifestyle coaching en wellness;
Compleet ingerichte, ergonomische thuiswerkplek met een tweede beeldscherm;
Maandelijkse Internetvergoeding;
Een leaseauto/auto regeling, laptop en iPhone;
30 vakantiedagen per jaar;
Hybride werken bij de klant, thuis en op kantoor;
De mogelijkheid om je binnen reguliere werktijden in te zetten voor Corporate Responsibility, verschillende netwerken, diversiteit, innovatie en/of recruitment;
Leuke informele activiteiten, zoals: borrels, een kerstgala en een skiweekend.

Solliciteer Nu!

Heb je interesse, herken je je in onze purpose en waarden en pas je in het profiel? Solliciteer dan vóór 2 oktober 2025 en upload dan de volgende documenten via de onderstaande knop:

Cv;
Begeleidende Brief.

Rond 6 oktober nemen wij contact met je op over je sollicitatie. De volgende stap is het maken van een online assessment.

Het eerste interview vindt plaats tussen 15 en 31 oktober. Het tweede interview vindt plaats op 7 of 14 november. Heb je in de tussentijd nog vragen? Neem dan contact op met onze recruiter Lis Eenkhoorn via lis.eenkhoorn@pwc.com

#Li-Le1

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Job Description

Purpose of the role

To design, implement, and maintain conceptual, Logical and Physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.

Accountabilities

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
Strategic architecture definition and product selection.
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
Implementation of architectures and Identification, ownership and resolution of design related issues.
Definition and documentation of data architectures standards, principles and strategies.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as a Senior Data Analyst/Data Architect - VP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you’ll transform multi-layered data into actionable insights that support better strategies and improved business outcomes. You will collaborate across teams to optimize data pipelines, improve governance, and ensure regulatory compliance.

To be successful as a Senior Data Analyst/Data Architect - VP, you should have experience with:

Designing and implementing data models and writing efficient SQL queries
Building and automating scalable data pipelines using Python, Spark, or Azure Data Factory
Applying analytics techniques, including machine learning and AI, to solve business problems
Monitoring and maintaining data quality, lineage, and control frameworks
Creating clear visual reports and dashboards using Power BI or Tableau

Some other highly valued skills may include:

Working with cloud platforms such as AWS or Azure and big data tools
Understanding data governance policies and compliance standards like BCBS239 or GDPR
Collaborating effectively across teams and influencing stakeholder decisions
Managing metadata, data documentation, and ensuring data consistency

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in Whippany, New Jersey.

Minimum Salary: $160,000

Maximum Salary: $200,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.

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Job Posting Title:

Director, Data Analytics - Commerce & Churn

Req Id:

10131495

Job Description:

About The Role

The Data Intelligence & Analytics (DnA) team sits at the heart of The Walt Disney Company’s streaming ecosystem—driving business decisions for Disney+, Hulu, and ESPN through analytics, data science, and experimentation. The Direct-to-Consumer (DTC) Streaming Analytics vertical within DnA is seeking a Director to lead our Commerce Experimentation and Churn Analytics teams which help our business understand and identify opportunities to mitigate both voluntary and involuntary subscriber churn. In this role you will lead and inspire a high-performing team and help foster a culture of collaboration, curiosity, and impact. This highly visible position requires the ability to distill complex data into clear, compelling narratives and strategic insights and will partner closely with business teams across the Disney Entertainment and Product & Technology businesses.

Responsibilities

Become an expert in understanding subscriber churn partnering with business stakeholders from Finance, Business Operations, Strategy, Marketing, and Product to measure, track, and understand drivers and trends of both voluntary and involuntary churn.
Work closely with Commerce Product partners to design and run experiments intended to drive subscriber growth and mitigate churn through the launching of new global payment methods, optimizing payment redovery, and identifying and mitigating subscriber fraud.
Lead, develop, and inspire a high-performing team of analytics professionals within the DnA organization.
Build strong relationships with cross-functional stakeholders and executive leadership to influence decisions through data-driven storytelling.
Shape and prioritize team roadmaps ensuring alignment with business goals.
Develop analytical frameworks to understand business trends and unlock new insights that will drive business strategy and decision-making.
Conduct and oversee deep-dive analyses to understand drivers of key business metrics.
Synthesize complex data into actionable insights and communicate findings clearly and effectively to technical and non-technical audiences.

Required Qualifications

Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, or related quantitative field.
12+ years of experience in analytics or data science roles, with at least 5 years leading high-performing teams.
Proven expertise in SQL and hands-on experience with data visualization and reporting tools such as Tableau or Looker.
Strong business acumen and experience applying analytics to support business strategy, user growth, retention, and product performance—preferably in media.
Demonstrated experience in designing, implementing, and measuring the impact of A/B tests and a familiarity with statistical modeling concepts and predictive analytics.
Exceptional communication skills with a demonstrated ability to present complex analyses and influence senior leadership through compelling storytelling.
Collaborative, intellectually curious, and results-oriented, with a strong ability to translate business needs into scalable, data-driven solutions.
Proven success operating in dynamic, matrixed organizations with multiple stakeholders and priorities.

Desired Qualifications

Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product
Experience working in the global billing, payments, and/or fraud domains.
Familiarity with using programming languages such as Python or R for statistical modeling.
Experience with ML techniques and proficiency with statistical analysis tools such as Python, R, Weka, or similar platforms.

Additional Information

#Disneytech

#Disneyanalytics

The hiring range for this position in Santa Monica and Los Angeles, CA is $184,300-$247,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-09-19","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - CA - 2450 Broadway, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Intern, Audit (Data Analytics) (Off-cycle Jan-Jun 2026)","datePosted":"2025-09-19","description":"

About Us

Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As at 13 August 2025, CLI had S$117 billion of funds under management held via stakes in seven listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-themed strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres, private credit and special opportunities.

Job Description

You will be assisting the Group Internal Audit team with its ongoing digital transformation, process improvement initiatives, and new digitalisation initiatives.

Responsibilities

Contribute to the design and enhancement of existing processes, workflows, and audit methodology through data and technology
Proof-of-concept assignments including, but not limited to data cleansing and modelling for downstream analytics usage, coding, and scripting, process flowcharting, system documentation
Design, implement, and test analytics use cases that may be used to detect anomalies, perform audit checks, and measure/predict risks
Build new and enhance current data ingestion pipelines
Perform other ad-hoc assignments as appropriate

Requirements

Currently pursuing a Degree in Business Administration, Business Analytics, or related disciplines
Able to communicate well and have a strong sense of logic
Effective self-starter who excels in a lean and fast-paced organization
Innovative spirit, strong problem-solving aptitude, and analytical skills
Familiarity with Power BI / Power Query will be a plus
Able to work independently

Closing Statement:

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

Only shortlisted candidates will be notified.

","hiringOrganization":{"@type":"Organization","name":"CapitaLand","sameAs":"https://www.capitaland.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Capital Tower, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Product Manager, Data Analytics & Telemetry","datePosted":"2025-09-19","description":"

About The Job

As our Product Manager for Metering, Telemetry & Analytics, you will be a key driver in making our products and offerings, more predictive, responsive and tailored to customer usage. Your role is to own the product strategy and roadmap for the systems and services that provide deep insights into the health, usage and deployment models for our Linux OS and management products. This role is primarily based in our Raleigh office, though we encourage applications from qualified candidates from anywhere.

What You Will Do

Champion a culture of data-driven decision-making, using product metering, telemetry, analytics, and direct customer feedback to inform our strategy from the ground up
Define the product roadmap for our end-to-end telemetry and customer engagement strategy, including inbound and outbound telemetry, data pipelines and qualitative feedback channels
Assess, evaluate and compare our full portfolio of telemetry, billing and metering solutions
Define and instrument the telemetry required to support commercial strategies, including product fulfillment, subscription enforcement and usage-based subscription models
Drive collaboration with engineering and business teams to translate raw data and metrics into actionable insights for pricing, adoption and future potential sales
Own the process for developing and delivering regular business reviews , product roadmaps and ensuring alignment of work with our top business drivers
Provide thought leadership on building and scaling observability platforms for enterprise operating systems, including the implementation of monitoring, metrics, logging and tracing solutions
Work with Red Hat Product Security teams and Information Technology to ensure proper data privacy, data security, audit, integrity and sovereignty requirements are addressed
Represent the overall Red Hat Enterprise Linux product at various industry and customer events

What You Will Bring

2+ years experience in technical product management practices such as requirements development, feature description creation, consultation with Engineering teams, user acceptance testing and software development
Experience on operating systems management software, platform telemetry or observability platforms
Data scientist skill set in understanding what information and metrics best meet stated business needs
Experience working within a cloud service provider (CSP), hosting provider, Platform as a Service (PaaS) or Software as a Service (SaaS) environment is highly desirable
Understanding how and when to leverage AI tools to provide predictive analytics and insights, especially as it applies to trend analysis
Experience in creating and managing proactive monitoring systems, telemetry dashboards (e.g., Nexthink, ServiceNow) and analytics platforms is considered a plus
Knowledge of Linux operating systems (Red Hat Enterprise Linux is a plus) and the challenges of managing, monitoring and securing them at scale
Excellent communication and collaboration skills, with the ability to tell a compelling story with data to a wide range of audiences, from C-level executives to deeply technical engineers

#Li-Hm1

The salary range for this position is $94,550.00 - $151,170.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
●   Comprehensive medical, dental, and vision coverage
●   Flexible Spending Account - healthcare and dependent care
●   Health Savings Account - high deductible medical plan
●   Retirement 401(k) with employer match
●   Paid time off and holidays
●   Paid parental leave plans for all new parents
●   Leave benefits including disability, paid family medical leave, and paid military leave
●   Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat Does Not Seek Or Accept Unsolicited Resumes Or Cvs From Recruitment Agencies. We Are Not Responsible For, And Will Not Pay, Any Fees, Commissions, Or Any Other Payment Related To Unsolicited Resumes Or Cvs Except As Required In A Written Contract Between Red Hat And The Recruitment Agency Or Party Requesting Payment Of A Fee.

Red Hat Supports Individuals With Disabilities And Provides Reasonable Accommodations To Job Applicants. If You Need Assistance Completing Our Online Job Application, Email Application-Assistance@Redhat.Com. General Inquiries, Such As Those Regarding The Status Of A Job Application, Will Not Receive A Reply.

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Company:

Marsh

Description:

Proficient in analytics skills using tools like Power BI reporting, power query, Python SQL .

Understand our business model to analyze data and provide actionable insights.

Collaborate with colleagues across various levels to align analyses with business objectives.

Assemble and process large datasets, identifying and implementing internal process improvements.

Gather and model data using Python to support strategic decision-making.

Prepares data and runs reports for growth target summaries, revenue analyses, solution penetrations and go-to-market scorecards for review by Data Analytics & Insight colleagues.
Completes all list select activity accurately and on schedule to ensure project deadlines are met.
Documents pertinent project information to aid back-end research and analysis.
Assists in efforts to standardize reporting across business units and regions by following established processes and methodology.
Performs detailed error-checking and data validation to identify and resolve potential data integrity and reporting issues.
Provides support for ad hoc queries and special projects to support activities related to business

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.","hiringOrganization":{"@type":"Organization","name":"Marsh McLennan","sameAs":"https://www.marshmclennan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai - Hiranandani, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As a member of the U.S. Data Strategy team, you’ll work in a fast-paced environment where you will be responsible for formulating system scope and objectives, gathering requirements, convert business requirements into technical requirements based on the architecture and ETL guidelines. The role performs tasks of technical depth and breadth, validating and documenting business requirements for assigned projects to ensure the maximization of operational efficiency, and ensuring project control procedures and policies are executed.

The Senior Data Analyst determines methods and approaches to projects, providing business support relative to the development, analysis and identification of process changes or system enhancements. You execute Data Analysis responsibilities related to the setup and management of identified data sources to feed our central data hub repository, work with developers to ensure naming conventions and modeling standards are utilized when bringing new data sources into the hub. Additionally, you ensure documentation of data and processes is maintained on a timely basis and is appropriate for the intended audience and develop a clear understanding of business-related data and apply analytic knowledge to high-priority challenges across all functional areas. Become an expert on what data is available for reporting. The role uses judgement and autonomy on day to day tasks, providing operational support for projects after implementation including problem resolution and recommendations to ensure ongoing success. The role proactively addresses problems within the scope of responsibility and identifies areas for possible improvements. You collaborate with stakeholders across the organization to understand the purpose of data collected, with the goal to solve business problems through rigorous data analysis and experimentation. You conduct thoughtful and productive conversations with the business owners before and during requirements gathering, escalate issues to leadership while offering solutions.

At CIBC, we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 2 days per week on-site at our Chicago Office while other days may be remote.

How You’Ll Succeed

Solution Design - Build client-focused solutions that meet business requirements. Prepare and validate solution design documents around areas such as scope clarification, solution requirements, and quality assurance.
Understanding and Documenting Requirements - Work closely with business partners to gather complex business requirements and facilitate solution design discussions to ensure you meet project needs. Build strong relationships, lead discussions, listen and ask the right questions to ensure solutions meet requirements.
Leading and Mentoring – Support end-to-end project implementation as a subject matter expert and provide guidance to a diverse team of technology and project professionals. Maintain a collaborative work environment and support team members to resolve organizational, operational, and process problems.

Who You Are

You can demonstrate 5-7 years’ experience within Data Analysis with a solid background in Data Profiling, Data Lineage, STTM (source and target mapping/ETL mapping), Data Warehousing Concepts and an understanding of Data models, preferably in financial domain. You possess programming skills with Python or Java language in addition to solid SQL skills with an ability to build complex SQL queries from scratch to pull and analyze data. You have a strong ETL and Data Warehouse background with previous experience developing complex solutions based on business requirements, and translating them into functional specifications. Proficiency with commonly used Business Intelligence tools, e.g. Alteryx, SQL, Tableau, Power BI, Business Objects, and knowledge around how to retrieve data efficiently as well as the differences and nuances between on-premise and Azure environments is desired. You have the knowledge of commonly used concepts, practices, and procedures within data analytics, data governance, and business intelligence.
You have a degree/diploma in Computer Science, Engineering, Management Information Systems, or a related field of study.
You put our clients first. You engage with purpose to find the right solutions. You go the extra mile because it’s the right thing to do.
You give meaning to data. You enjoy investigating complex problems and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. You have the excitement to pick up and run with new technologies, demonstrated initiative to explore alternate technology and approaches to solving problems
You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
You have a degree/diploma in Computer Science, Business, and/or a related field, and you’ve spent at least three years in a BSC role leading projects and designing solutions.
It’s an asset if you have experience with Agile methodologies and Application and/or Architecture Development.
Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

California residents — your privacy rights regarding your actual or prospective employment

At CIBC, we offer a competitive total rewards package. This role has an expected salary range of 90,000- 115000 for the Illinois market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee’s needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave, and Vacation), Holidays, and 401(k), in addition to other special perks reserved for our team members.

This position does not offer visa sponsorship.

#Li-Ta

What Cibc Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

IL-70 W Madison St, 10th Fl

Employment Type

Regular

Weekly Hours

Skills

Alteryx, Analytical Thinking, Application Testing, Data ETL, Data Lineage, Data Profiling, ETL Tools, IT Process Improvement, Source to Target Mapping, SQL Tools","hiringOrganization":{"@type":"Organization","name":"CIBC","sameAs":"https://www.cibc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IL-70 W Madison St, 10th Fl, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"ITAM Operational Risk Metrics, Assct Spclst, Data Analytics","datePosted":"2025-09-19","description":"

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

As the IT Asset Management (ITAM) Metrics owner, you will be part of the ITAM ITSM-ITAM Metrics function, working closely with the team to establish, maintain and deliver insightful metric reporting capabilities. In this role, you will build and deploy analytic and reporting solutions to support ITAM data needs. You will work with other team members cross functionally to leverage our data warehouse, data lake and a suite of reporting, dashboard and analytics tools to deliver on needs.

Key Responsibilities

Lead the design, development and continuous improvement of the ITAM reporting operating model across the ITAM function (i.e., people, process and technology that are required to maintain ITAM controls including consistent, accurate and complete metrics)
Oversee the development of data pipelines that ingest and enrich source data to inform metrics
Develop and manage automated dashboards and reporting to key stakeholders (e.g., IT Management, Risk Management/Audit (2LOD/3LOD), and other stakeholders such as the Board of Directors and various global Regulators
Oversee the management of data resources, including data collection, storage, and quality while working with Northern Trust’s Enterprise Data Governance team to ensure compliance with the respective standards and practices
Apply and coach others on 'best in class” reporting practices, processes and tools
Prepare and deliver training programs to key personnel on ITAM reporting
Challenge the status quo and find new solutions and drive out of the box ideas
Structure, execute analysis, identify patterns in data, derive valuable insights and recommend management actions, while delivering modern visualization of the analysis and insights, and automate the regular production of reports

Key Skills/Experience

10+ years experience creating, maintaining and enhancing IT related metrics which were leveraged for strategic and regulatory reporting. Experience in IT Asset Management and IT Service Management experience preferred.
3+ years leading teams to deliver analytic and reporting solutions using a variety of common reporting tools (e.g., ServiceNow, PowerBI, Tableau, Javascript)
Experience working effectively with diverse global teams to come up with the best solution and motivate people to act (e.g., convening, structuring, owning the agenda and facilitating meetings and workshops)
Ability to communicate effectively with all levels of the company coupled with the ability to reason, persuade and influence effectively
Self-motivated and capable of working on your own initiative and lead others in fast-paced environments
Data science, modeling and advanced analytics certifications or degree a plus
Experience with agile methodologies and operations a plus

Salary Range:

$95,600 - 162,400 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working With Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater

Reasonable Accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.

We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

","hiringOrganization":{"@type":"Organization","name":"Northern Trust","sameAs":"https://www.northerntrust.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wabash Bldg-Chgo, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Analyst - KYC and Client Onboarding","datePosted":"2025-09-19","description":"

Job Title

Senior Data Analyst - KYC and Client Onboarding

Job Description

So, Who Are We?

Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.

We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.

We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth.

Your Team

The Client Onboarding Solutions team is part of the broader KYC structure, focused on delivering innovative technology solutions to streamline and optimize KYC and client onboarding processes across multiple geographies. The team drives transformation by collaborating closely with KYC SMEs and multiple other stakeholders to ensure efficient rollout and continuous improvement. .

Your Role In The Team'S Success

This role offers an excellent opportunity for a mid-level data professional to deepen their expertise in financial services analytics while working with modern data technologies and making a direct impact on customer experience and regulatory compliance.

Your role will be pivotal in accelerating the client onboarding transformation by implementing and supporting new products and solutions. You will collaborate closely with KYC and Client Onboarding SMEs to configure and customize workflows for initial rollouts across multiple geographies, ensuring smooth deployment and adoption. By driving continuous optimization of onboarding journeys, you will help enhance client experience and operational and, contributing directly to the success of the organization.

What You'Ll Do

Data Management & Analysis
Visualization & Reporting
Technical Development
Collate, collect, and analyse large datasets from Oracle databases and GCP Big Data platforms
Design and execute complex SQL queries to join, aggregate, and filter data across multiple related tables
Navigate and understand complex data schemas to identify relevant data sources and relationships
Cleanse and standardize data from multiple sources to ensure consistency and accuracy
Create and maintain data models that support analytical requirements and business intelligence needs
Perform comprehensive data quality assessments and validation procedures
Develop automated data collection processes to improve efficiency and accuracy
Create compelling data visualizations and dashboards using Tableau/Looker/PowerBI/Excel to communicate findings effectively
Transform complex analytical findings into clear, actionable business insights through data storytelling
Build and maintain regular reporting frameworks for onboarding and KYC performance metrics
Present findings to both technical and non-technical stakeholders
Business Partnership & Domain Expertise
Collaborate closely with engineering teams to understand data infrastructure and identify optimization opportunities
Partner with business practitioners in onboarding and KYC departments to understand their analytical needs
Proactively identify and investigate business questions that could drive operational improvements
Develop deep understanding of onboarding processes, KYC regulations, and compliance requirements
Translate business requirements into technical specifications for data analysis projects
Utilise Python for data manipulation, cleaning, and advanced analytical tasks
Contribute to the development of data pipelines and analytical frameworks
Support the implementation of new data collection and analysis methodologies

What You'Ll Need For This Role

Key Qualification Requirements:
Soft Skills
Success Metrics
3-5 years of experience in data analysis, preferably within financial services
Experience working with large, complex datasets and data warehousing concepts
Demonstrated ability to work in cross-functional teams with both technical and business stakeholders
Experience with data quality assessment and validation processes
Strong analytical mindset with natural curiosity and problem-solving abilities
Excellent communication skills with ability to explain complex concepts to non-technical audiences
Detail-oriented approach with strong focus on data accuracy and integrity
Ability to manage multiple projects and priorities in a fast-paced environment
Collaborative working style with stakeholder management experience
Ability to independently manage end-to-end analytical projects
Quality and actionability of insights delivered to business stakeholders
Efficiency improvements in data collection and reporting processes
Contribution to business decision-making through data-driven recommendations
Development of expertise in onboarding and KYC domain knowledge

How We Work

We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:

Lead and Inspire: Drives trust, alignment, and enthusiasm
Think Big: Focus on the problems that most impact commercial outcomes
Champion the client: Understand and prioritise client's needs
Deliver at pace: Push for fast, sustainable growth;
Raise the bar: Take ownership, be accountable and share feedback

We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.

The Perks

Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.

Hybrid Working
Home office equipment reimbursement
Annual Financial Bonus
Private medical cover for you and your family/partner (Medicover)
Multikafeteria system (you can choose a multisport card, vouchers, etc.)
Life Insurance (Generali)
Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture
Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform
Well-being events as well as Employee Assistance Programme
Summer picnic, New Year party and other social events
3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work 😊

Learn more about the Perks here!

Join us for this exciting journey. Apply now!

Number Of Openings

1","hiringOrganization":{"@type":"Organization","name":"IG Group","sameAs":"https://www.iggroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kraków - Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Intern, Audit (Data Analytics) (Off-cycle Jan-Jun 2026)","datePosted":"2025-09-19","description":"

About Us

Job Description

You will be assisting the Group Internal Audit team with its ongoing digital transformation, process improvement initiatives, and new digitalisation initiatives.

Responsibilities

Contribute to the design and enhancement of existing processes, workflows, and audit methodology through data and technology
Proof-of-concept assignments including, but not limited to data cleansing and modelling for downstream analytics usage, coding, and scripting, process flowcharting, system documentation
Design, implement, and test analytics use cases that may be used to detect anomalies, perform audit checks, and measure/predict risks
Build new and enhance current data ingestion pipelines
Perform other ad-hoc assignments as appropriate

Requirements

Currently pursuing a Degree in Business Administration, Business Analytics, or related disciplines
Able to communicate well and have a strong sense of logic
Effective self-starter who excels in a lean and fast-paced organization
Innovative spirit, strong problem-solving aptitude, and analytical skills
Familiarity with Power BI / Power Query will be a plus
Able to work independently

Closing Statement:

Only shortlisted candidates will be notified.

","hiringOrganization":{"@type":"Organization","name":"CapitaLand","sameAs":"https://www.capitaland.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Capital Tower, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Dir - Program Execution - Data, Analytics and AI","datePosted":"2025-09-19","description":"

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

Job Description Summary:

Under the direction of the Senior Director, Large Program Framework & Governance supporting Global Data and Technology Solutions (GDATS) the Director will help plan and support strategic IT development opportunities defined by GDATS and corporate strategy. This role supports the development and execution of various business and IT segment specific opportunities.

Job Description:

Responsible for managing a large portfolio of work executing key strategic initiatives centered on Data, Analytics, and AI. Director will lead the implementation of strategic projects/programs and services within and around that domain.
Manage workstreams and capabilities with broad oversight and in close coordination with GDATS leaders and enterprise stakeholders. These projects will include internally focused initiatives to drive strategic solutions and integration across the broader organization.
Manage complex program funding and budget levers, directly accountable for up to $60M annually.
Collaborates effectively with various business units and departments across Cencora to facilitate execution of projects and initiatives.
Works with GDATs and business leaders to manage risk, financials, timeline, and more through implementation activities and in support of the solution ownership team.
Prioritize core people leadership capabilities – including coaching, development, etc. of program managers, project managers, and scrum masters.
Must be capable of understanding and applying an industry-wide perspective on major trends, including customer, regulatory, technology, and distribution channel changes
Supports efforts to align and integrate Cencora’s strategic priorities with business unit strategies.
Provides support on projects and assignments, which require commitment from interdepartmental and external resources.
Must be capable of managing, providing coaching, mentoring and leadership to associates within the areas of responsibility.
Must be willing to work extended hours, as needed, to meet objectives; must be willing to travel to events such as internal meetings.
Performs related duties as assigned.

Experience And Educational Requirements:

Advanced degree highly preferred, such as MBA, MHA, MS, PMP, Agile Certification.
Normally requires broad training in fields such as business administration, engineering, information technology, or similar vocations obtained through completion of Bachelor’s degree program; master’s degree (MBA or MHA) preferred; requires a minimum of five (5) years related and progressively responsible experience in the healthcare and/or execution teams.

Minimum Skills, Knowledge and Ability Requirements:

Data/Analytics Experience
Product Model/Safe/Agile Experience
Intimate knowledge of healthcare industry
Minimum 5 years people leadership experience
Excellent written and verbal communication skills
Demonstrate experience in managing and leading complex cross-functional projects and financials
Well organized with demonstrated success in planning and managing multiple projects simultaneously
Demonstrates strong critical thinking and expresses ideas clearly, concisely, and logically
Ability to make balanced and insightful decisions
Strong organizational skills; attention to detail
Strong interpersonal skills and ability to collaborate with others
Knowledge of Microsoft PowerPoint, Excel, and Word
Demonstrated knowledge of various management principles; solid understanding and support of Cencora policies, philosophy, goals and objectives to integrate a complementary management network
Ability to assess changing conditions, values, and needs of the customer; ability to conceptualize, develop and lead the effort required to support change

What Cencora Offers

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora

Full time

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

Affiliated Companies

Affiliated Companies: AmerisourceBergen Services Corporation","hiringOrganization":{"@type":"Organization","name":"AmerisourceBergen","sameAs":"https://www.amerisourcebergen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - PA - Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Replacement Data Analytics AI/ML","datePosted":"2025-09-19","description":"

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Replacement Data Analytics AI/ML

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
8+ years of experience in data science, preferably in the payments or fintech industry.
Proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
Strong understanding of payment systems, transaction flows, and fraud detection techniques.
Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

Note To Agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning About Fake Job Posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

","hiringOrganization":{"@type":"Organization","name":"Fiserv","sameAs":"https://www.fiserv.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune - Trion Business Park, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Director, Data Analytics","datePosted":"2025-09-19","description":"

Employment Type: Full-time, 12-month Fixed Term role.

Remuneration: Competitive total package

Location: Kensington, NSW (Hybrid working model)

About Unsw

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. We aspire to be Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society.

Why your role matters

The Director, Data Analytics defines and delivers UNSW’s enterprise-wide analytics strategy, driving advanced analytics, BI, and AI-enabled insights to support evidence-based decision making. Reporting to the Chief Data Officer, the role provides thought leadership, sets governance frameworks, and fosters a culture of data-driven decision making through strong cross-University collaboration and team leadership.

About The Role

The successful applicant will be required to undertake and have experience in the following areas of expertise:

Lead the development and delivery of an enterprise analytics strategy and roadmap aligned to UNSW’s Data strategy and priorities.
Establish and oversee the operating model for analytics within the EDO function, ensuring clarity of roles, minimisation of duplication, and effective coordination across the University.
Build and mature an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities.
Ensure analytics outputs are accessible, high-quality, and aligned with enterprise governance, data quality, security, regulatory, and ethical standards.
Lead and grow a high-performing multidisciplinary analytics team, fostering a culture of performance, innovation, continuous improvement, and data literacy. Champion communities of practice to strengthen collaboration and capability.
Oversee delivery of analytics programmes end-to-end, from business case through execution to benefit realisation ensuring effective prioritisation, financial management, and risk mitigation.
Demonstrate and communicate the value of analytics through clear performance metrics and transparent reporting to the CDO and executive committees.

About You

Relevant tertiary qualification with substantial relevant experience, or equivalent competence gained through any combination of education, training and experience.
Proven experience leading analytics strategy and delivery in a large, complex organisation, with the ability to align analytics services to strategic priorities.
Strong background in advanced analytics, reporting, data visualisation, and AI/ML, with demonstrated ability to translate emerging technologies into practical, value-driven solutions.
Solid understanding of data governance, quality, privacy, security, and architecture, ensuring analytics outputs are trusted, compliant, and sustainable.
Experience delivering enterprise-wide analytics programmes, from business case and planning through to execution, benefit realisation, and value measurement.
Exceptional ability to engage and influence senior executives, academics, and professional staff, simplifying complex concepts and building buy-in.
Demonstrated experience building and leading high-performing, multidisciplinary analytics teams, and fostering a culture of collaboration, innovation, and continuous improvement.
Experience representing analytics in senior governance forums, shaping decisions, and managing risks and dependencies across portfolios.

For further information on the role & responsibilities, please refer to the Position Description

How to Apply: Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the Position Description) before Monday 6th October by 11:55pm.

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

\n\n

UNSW Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include:

Flexible Working Options (work from home, flexible hours etc)
Additional 3 days leave during December festive period.
Career development opportunities
Up to 50% discount on UNSW courses
Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice.
Discounts and entitlements (retail, education, fitness passport)

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

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If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $88,300.00 - $132,400.00

Job Description

The Institutional Analytics and Research (IAR) team supports and enables most university teams, departments, and colleges to make data-informed decisions that lead to better student outcomes. Our analysts, scientists, researchers, and managers are distributed across several teams: Faculty Analytics, Institutional Research, Curriculum Analytics, Outreach Analytics, and Student Success Analytics.

The Senior Data Analyst is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.

Primary Responsibilities

Drives the documentation of data and analytics needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates of user stories into technical requirements.
Sets and manages expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
Identifies adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments.
Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
Utilizes software, scripts, and algorithms to perform data-related tasks (e.g. importing, cleaning, transforming, analyzing, displaying) without human intervention.
Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops.
Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
Contributes actively to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.).
Supports and accelerates other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
Drives tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
Tracks and reports own progress, dependencies, and challenges diligently. Breaks down complex goals into concrete tasks and activities.
Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university.
Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
Collaborates effectively with other technical specialists (e.g. data engineers) in the construction of data products, systems, and applications.
Performs other job-related duties as assigned.

Knowledge, Skills, and Abilities

Advanced SQL proficiency, with experience writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent. Understands conceptual and logical data modeling, and has experience with dimensional models, star schema, and snowflake schema.
Experienced with descriptive statistics, causal analysis, and inference.
Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC).
Proficient in MS Office suite, including advanced Excel knowledge.
Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications.
Familiarized with the university’s most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking.
Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university’s objectives.
Ability to perform with a very high level of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Education

Bachelor’s degree in a related discipline

Experience

5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.

Experience in lieu of education An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements. Work Location

This position is in-office in Salt Lake City, UT.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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Date Posted:

2025-09-04

Country:

India

Location:

1st Flr, Wing B, North Gate Phase-II, Modern Asset, Sy.No.2/2, Venkatala Village, Yelahanka Hobli, Bangalore – 560064, Karnataka

Position Role Type:

Unspecified

Who We Are:

Pratt & Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready
to go beyond?

Job Description:

The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs.

The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances.

This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing.

What You Will Do:

Develop and implement advanced AI and machine learning models for engine condition monitoring, fault detection, and predictive maintenance.
Apply machine learning techniques such as classification, clustering, anomaly detection, and time series forecasting to analyze engine performance and operational data.
Collaborate with engineering and data teams to integrate AI/ML insights into digital engine diagnostics and prognostics platforms.
Create and optimize scalable data pipelines and workflows for processing large volumes of sensor and operational data.
Design and maintain interactive dashboards and visualization tools (Power BI, Matplotlib, HighCharts) to communicate AI-driven insights effectively.
Perform exploratory data analysis to identify trends, patterns, and actionable insights using statistical and machine learning methods.
Work with relational databases (MS SQL, MySQL, PostgreSQL) and big data technologies (Databricks, AWS) to manage, clean, and preprocess datasets.
Document machine learning workflows, model evaluation metrics, and deployment processes for reproducibility and continuous improvement.

Qualifications You Must Have:

Bachelor’s or Master’s degree in Data Science, Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field.
Minimum 8-12 years of experience applying AI and machine learning in an engineering or industrial setting.
Strong programming skills in Python and/or R, with experience using machine learning libraries and frameworks such as Scikit-learn, TensorFlow, Keras, or PyTorch.
Proficient in SQL and experience working with relational databases (MS SQL, MySQL, PostgreSQL).
Experience building and deploying machine learning models in cloud environments, preferably AWS (SageMaker, Lambda, S3).
Knowledge of data engineering tools and platforms such as Databricks, Airflow, or similar ETL/ELT frameworks.
Skilled in data visualization using tools like Power BI, Matplotlib, and HighCharts.
Understanding of statistical analysis, hypothesis testing, and time series analysis.
Strong communication skills with the ability to present complex AI/ML concepts to technical and non-technical stakeholders.

Beneficial Skills:

Familiarity with turbomachinery or aerospace data is a plus but not mandatory.
Experience with predictive maintenance and condition-based monitoring systems.
Understanding of digital twin concepts and their application in aerospace or industrial settings.

What We Offer

Long-term deferred compensation programs
Daycare for young children
Advancement programs to enhance education skills
Flexible work schedules
Leadership and training programs
Comprehensive benefits, savings, and pension plans
Financial support for parental leave
Reward programs for outstanding work

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy And Terms:

Click on this link to read the Policy and Terms

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Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

Here, you will have the freedom to grow in a world of opportunity

AECOM has an exciting opportunity for a Data Analytics / Power BI Developer w/M365. This work will be done out of our office in Bogota, Colombia.

Our clients count on us to think without limits. By harnessing the power of digital technology and innovation and connecting our technical experts and visionaries around the world, we deliver tailored solutions and transformative outcomes for our clients and the communities they serve.

The successful candidate will be joining the Data and Analytics team within the Europe region. You will report directly to the Data and Analytics team lead and assist with developing Microsoft Power Platform solutions. Your primary focus will be building Canvas Power Apps and PowerBI reports according to defined standards, working together with Power Platform Lead to demonstrate the art of the possible and elevate the adoption of Power Platform solutions.

To ensure success as the Power Apps Developer, you should have a strong working knowledge of Power Platform and all the related elements including Canvas Power Apps, Model-Driven Power Apps, Dataverse, Power Automate, Power BI, Power Portals and Microsoft 365 services.

Responsibilities

We are looking for ambitious, self-motivated Power Apps Developer to work on a variety of tasks and projects. The successful candidate shall be able to work in a team and independently without losing initiative & focus. Areas of work include:

Build Canvas Power Apps and Model-Driven Power Apps to meet requirements of clients and business
Design & implement Dataverse databases within the Power Platform
Build data models harnessing PowerBI with insightful visualization layer on top
Support team and organisation in growing capability with Power Platform
Identify and solve business problems with the Power Platform and low code / no code solutioning
Utilize problem-solving skills to understand and troubleshoot established Power Platform solutions as challenges arise
Support and work together with wider digital organisation such as Data Analysts and Data Scientists to provide holistic digital solutions
Collect and evaluate requirements from users, and stakeholders for solution development
Illustrate delivery cadence through regular engagement with end stakeholders, both internally and externally
Work with our UX Designer and Power Platform Lead to ensure best in class solution development
Design solutions both independently and with UX Designer
Be able to provide estimates for pipeline work
Build Flows & Robotic Process Automations (RPA) within Power Automate
Build chatbots using Power Virtual Agent
Build external-facing portals using Power Portals
Incorporating feedback into your development process
Testing work against the requirements and acceptance criteria

About Enterprise Capabilities:

Enterprise Capabilities is a service-led organization within AECOM enabling access to a global talent pool. With offices in China, India, Philippines, Poland, Romania, South Africa and Spain, our teams of technical professionals provide around the clock project support helping AECOM teams around the world to deliver faster, smarter, and better. Enterprise Capabilities supports AECOM’s ability to work as one global team by standardizing design processes, deploying collaboration technologies, and utilizing a connected network of technical expertise. By joining Enterprise Capabilities, you have the unique opportunity to work on AECOM’s monumental projects located around the world, contributing to our purpose of delivering a better world.

Qualifications

Minimum Requirements

Bachelor’s degree in computer science and (or) Microsoft accreditation
3+ years’ experience in industry
Hands-on experience with Power BI Desktop
Familiarity with Power BI Service (publishing & sharing reports)
Basic knowledge of DAX (Data Analysis Expressions)
Experience in connecting Power BI to various data sources (Excel, SQL Server, SharePoint, etc.)
Ability to create and customize visuals, charts, and slicers
Understanding of data modeling (relationships, calculated columns/measures)
Experience in building dashboards and interactive reports
Knowledge of filters, slicers, and drill-through capabilities
Experience with data transformation using Power Query
Exposure to scheduled refresh and Power BI Gateway (optional but good to have)
Experience in real-world Power BI projects (domain doesn’t matter)
Basic understanding of security/sharing (Row-Level Security is a plus)
Excellent communication skills, English language competency, both written and verbal

Preferred Qualifications

A portfolio & history of previous Power Platform/web development work
B2 certification in English
Exposure to Azure services
Experience and of basic coding languages including Python, C#, HTML5, and JavaScript
Experience working with different types of API including OAuth

Additional Information

About Aecom

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.

What makes AECOM a great place to work

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

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Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more!

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

Join us and be part of the play!

Position Overview:

Words with Friends is an iconic and beloved multiplayer word game that has captivated millions of players worldwide. As a part of our team, you'll contribute to a game that not only entertains but also educates and connects people across the globe. If you're passionate about creating interactive entertainment that brings people together, Words with Friends offers an unparalleled opportunity to be part of a popular brand in mobile gaming!

At Words with Friends, analytics plays a crucial role. We inform decision-making and personalize player experience leveraging data and ML-powered solutions in our game. Whether you are assisting the experiment setup that unlocks features to the right people at the right time, analyzing a new feature’s impact in our economy ecosystem, or fine-tuning our intelligent matchmaking system, your work will have a direct impact on the user experience! Join us if you enjoy solving interesting and challenging problems!

What You'Ll Do:

Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards.
Design game telemetry to capture meaningful player interaction data to improve the game experience.
Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements.
Actively play and engage with our games to maintain first-hand understanding of player experience, game mechanics, and potential pain points.
Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence.
Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team.
Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams.

What You Bring:

Familiarity with mobile games
Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus.
Minimum of 4 years in data science or analytics roles.
Proficiency in Python and SQL.
Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous.
Strong ability in both written and oral communication.
Highly self-motivated with a keen interest in problem-solving.
Willingness to take ownership of challenges.
Proven ability to work collaboratively as part of a team.

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

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Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face.
We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.

Summary:

As a Data Analytics Specialist 1, you will be responsible for ingesting, QA'ing, cleaning, transforming, visualizing, and interpreting digital marketing performance data. You will need outstanding problem-solving abilities, comfort with manipulating large sets of data, and excellent English communication skills. This is an exciting, entry-level position that requires strong quantitative skills, a technical mindset, and a desire to be part of a tightly-knit team that's out to change the industry. You will work with and learn from the smartest people in the industry.

Please note, the official title for this position will be \"Data Strategy & Analytics Specialist 1\", upon hire.

What You Will Do:

Manage digital media, third party, and client data across multiple clients.
Unify and translate large sets of data from different data sources into cross-channel visualizations, dashboards, and reports for both Kepler and client usage, tailoring them to your clients’ unique business objectives and needs
Partner with clients and internal teams to understand business and marketing goals, leveraging analytics to advance these goals.
Develop data visualizations (e.g., Datorama, Looker, PowerPoint) for brands and any back-end functionality, as well as custom client-facing reports as needed.
Help identify data discrepancies and possible problems with campaign tracking or reporting infrastructure.
Become an expert in the digital marketing ecosystem and in media analytics tools across digital channels, including display (banner ads), mobile (smartphone, tablet), search (Google, Bing), social (Facebook, Twitter) and online video (Hulu, YouTube), among others.
Become an expert in Kepler's proprietary software suite and AI capabilities.
Learn about testing and custom analysis techniques to measure the impact of digital media campaigns and generate actionable insights for our clients.

Must Have:

Strong analytical and problem-solving abilities.
Strong interest (or experience) in marketing and digital media analytics (including display, mobile, social and search)
Comfort with MS Excel and large sets of data, with the ability to think creatively about challenging problems.
Excellent bilingual communication skills in English and Spanish.
Strong proficiency with SQL.
Ability to self-manage, juggle multiple priorities, and pay strong attention to detail.
Ability to contribute to an entrepreneurial, team-based environment.

Nice To Have:

University degree.
Online advertising experience (e.g., Google Ads/Search Ads 360, Facebook Ads, LinkedIn Ads, Google Analytics, etc.).
Experience working with Salesforce Datorama or similar reporting software such as Looker Studio, PowerBI, or Tableau.
Knowledge of programming languages to aid in analysis (e.g., SQL, Python, R).

Benefits & Perks

Competitive health and dental benefits
Tuition reimbursement and training stipend
Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend
“Work from Anywhere” 4 weeks per year
Stocked kitchen, and other team outings
Collaborative and friendly work space, easily commutable location
Volunteering & altruism opportunities
Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated
If something is important to you that’s not listed here, let us know!

Career & Development Focus

Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events
Opportunities to pursue business related side projects and Hackathons
Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups
Opportunity to work with cutting edge technology and industry thought leaders
Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees

**All applications must include a Resume & Cover Letter in English to be considered.

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

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