{"@context":"https://schema.org","@type":"ItemList","name":"Explore Opportunities as a Senior Data Analyst - Apply Now","description":"Join the team as a Senior Data Analyst and harness the power of data to drive business success. Discover a wide range of job opportunities in data analysis with competitive salaries and flexible work arrangements.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Senior Data Analyst, Product","datePosted":"2025-09-19","description":"

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

\n\n

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.

\n\n

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.

\n\n

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.

\n\n

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

","hiringOrganization":{"@type":"Organization","name":"Welbe Health","sameAs":"https://welbehealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

Job Summary

\n\n

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.

\n\n

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.

\n\n

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.

\n\n

Minimum Qualifications

\n\n

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.

\n\n

Working Conditions

\n\n

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

\n\n

Physical Requirements

\n\n

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.

\n\n\n

Direct Reports

\n\n

None

","hiringOrganization":{"@type":"Organization","name":"AbsoluteCare","sameAs":"https://www.absolutecare.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

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

","hiringOrganization":{"@type":"Organization","name":"Compass","sameAs":"https://www.compass.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"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

","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

","hiringOrganization":{"@type":"Organization","name":"Compass","sameAs":"https://www.compass.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Data Analyst II","datePosted":"2025-09-19","description":"

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

\n","hiringOrganization":{"@type":"Organization","name":"MongoDB","sameAs":"https://www.mongodb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":8,"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":9,"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":10,"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":11,"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.

\n\n

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

","hiringOrganization":{"@type":"Organization","name":"HousingAnywhere Group","sameAs":"https://housinganywhere.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rotterdam, Zuid-Holland, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

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

","hiringOrganization":{"@type":"Organization","name":"Coface","sameAs":"https://www.coface.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"București, București, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-19","description":"

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":14,"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":15,"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":16,"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":17,"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":18,"item":{"@type":"JobPosting","title":"Senior Data Analyst/Data Architect - VP","datePosted":"2025-09-19","description":"

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.

","hiringOrganization":{"@type":"Organization","name":"Barclays","sameAs":"https://home.barclays/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"115 South Jefferson Rd Campus, Whippany, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Analyst - Faculty Analytics","datePosted":"2025-09-19","description":"

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.

","hiringOrganization":{"@type":"Organization","name":"Western Governors University","sameAs":"https://www.wgu.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Salt Lake City Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Analyst - Words with Friends","datePosted":"2025-09-18","description":"

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).

","hiringOrganization":{"@type":"Organization","name":"Zynga","sameAs":"https://www.zynga.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX; Bay Area, CA; Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Data Analyst (f/m/x)","datePosted":"2025-09-18","description":"

Company Description

We are seeking a technically skilled and passionate Senior Data Analyst (f/m/x) to join our dynamic Business Engineering Team within AUTO1 Group. As a key contributor to our data-driven logistics and refurbishment operations, you will collaborate with experts leveraging cutting-edge insights to optimize processes and drive innovation across the production lifecycle. Managing all refurbishment analytics fully in-house, our team offers you an ideal environment for a steep learning curve and impactful professional growth.

\nAUTO1 Group is Europe’s leading digital automotive platform, revolutionizing the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com.

Job Description

Lead and own our refurbishment domain: collaborate closely with our Refurbishment, Product, and Business Engineering teams to drive impactful, data-driven decisions in our refurbishment operations
Empower top management with insights: design and deliver reports and analyses to help senior leaders identify focus areas, track performance, and guide strategic direction
Build tools and dashboards for operational excellence: develop and maintain dashboards and user-friendly tools to enable operational teams across various countries to monitor efficiency, manage issues, and support process improvements.
Provide Ad Hoc analytical support: work on in-depth analyses to back decision-making regarding new feature development, product configurations, and negotiations with external partners.
Structure and Enhance Data Models: Help design and improve our data architecture to ensure consistency, scalability, and company-wide usability of critical data assets.
Collaborate with HQ and local stakeholders: partner with both central and local teams across Europe to co-create robust, centralized analytics and data solutions that address operational needs across diverse markets
Act as a product partner: Support the team’s product role by testing and validating new product features and functions, ensuring data-driven improvements and optimum functionality for stakeholders

Qualifications

Solid experience in data analysis: you bring at least two years of hands-on experience working with complex data sets to generate actionable insights
Academic background: You hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Business, or a related field with a strong quantitative foundation
Passion for data and analytical excellence: you have a keen affinity for numbers, combining meticulous attention to detail with strong analytical and problem-solving skills
Technical proficiency: you possess advanced knowledge of SQL and Excel for data manipulation and analysis. Understanding DBT is a plus.
Bonus skills: experience with Python, GitHub, dbt, and leading data visualization tools such as Looker or Tableau is highly valued
Proactive mindset: you take initiative and approach challenges with a solution-focused, hands-on attitude
Language skills: you are fluent in English and comfortable collaborating in an international environment

Additional Information

Our Offer

Your life-work balance is important to us, so you have the option to work in a hybrid model.
Time to relax: 30 days of vacation per year
We offer discounts on well-known brands like Flaconi, Bosch, Apple, and Sky, as well as special offers on used cars for you, your family, and your friends
More than 90 different nationalities make up a truly international and diverse working environment

Apply by uploading your CV with a note of your salary expectations.
\n
\nContact
\nIgor Popov
\n
\nAt AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.

","hiringOrganization":{"@type":"Organization","name":"AUTO1 Group","sameAs":"https://www.auto1-group.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, IDF, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data Analyst (f/m/x)","datePosted":"2025-09-18","description":"

Company Description

\nAUTO1 Group is Europe’s leading digital automotive platform, revolutionizing the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com.

Job Description

Lead and own our refurbishment domain: collaborate closely with our Refurbishment, Product, and Business Engineering teams to drive impactful, data-driven decisions in our refurbishment operations
Empower top management with insights: design and deliver reports and analyses to help senior leaders identify focus areas, track performance, and guide strategic direction
Build tools and dashboards for operational excellence: develop and maintain dashboards and user-friendly tools to enable operational teams across various countries to monitor efficiency, manage issues, and support process improvements.
Provide Ad Hoc analytical support: work on in-depth analyses to back decision-making regarding new feature development, product configurations, and negotiations with external partners.
Structure and Enhance Data Models: Help design and improve our data architecture to ensure consistency, scalability, and company-wide usability of critical data assets.
Collaborate with HQ and local stakeholders: partner with both central and local teams across Europe to co-create robust, centralized analytics and data solutions that address operational needs across diverse markets
Act as a product partner: Support the team’s product role by testing and validating new product features and functions, ensuring data-driven improvements and optimum functionality for stakeholders

Qualifications

Solid experience in data analysis: you bring at least two years of hands-on experience working with complex data sets to generate actionable insights
Academic background: You hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Business, or a related field with a strong quantitative foundation
Passion for data and analytical excellence: you have a keen affinity for numbers, combining meticulous attention to detail with strong analytical and problem-solving skills
Technical proficiency: you possess advanced knowledge of SQL and Excel for data manipulation and analysis. Understanding DBT is a plus.
Bonus skills: experience with Python, GitHub, dbt, and leading data visualization tools such as Looker or Tableau is highly valued
Proactive mindset: you take initiative and approach challenges with a solution-focused, hands-on attitude
Language skills: you are fluent in English and comfortable collaborating in an international environment

Additional Information

Our Offer

Your life-work balance is important to us, so you have the option to work in a hybrid model.
Time to relax: 30 days of vacation per year
We offer discounts on well-known brands like Flaconi, Bosch, Apple, and Sky, as well as special offers on used cars for you, your family, and your friends
More than 90 different nationalities make up a truly international and diverse working environment

","hiringOrganization":{"@type":"Organization","name":"AUTO1 Group","sameAs":"https://www.auto1-group.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-18","description":"

Company Description

Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.
\n
\nRenesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.

Job Description

Job Purpose & Dimensions:

Support One Renesas SCM Master data Project team to meet milestones & Project End Goal
Support Data migration activities in Integration Project
Support in User testing and validation of Master data according to the Project Plan
Support Master data governance process
Support Operational activities related to Master Data

Principal Accountabilities:

Cross-Functional Collaboration Work closely with various teams across the organization to maintain, enhance, and harmonize master data systems and processes.
Data Quality & Integrity Ensure high-quality master data by performing root cause analysis, implementing corrective actions, and regularly reviewing key parameters (e.g., yield, lead time, buffer stocks, vendor costs).
Automation & Process Improvement Drive automation and harmonization of data maintenance processes to improve efficiency and consistency.
Project & Change Management Lead and support initiatives, enhancements, and projects related to master data and reporting, including functional specifications, design reviews, testing phases, and user training.
Training & Knowledge Sharing Train Master Data team members and other departments on tools, processes, and best practices, including organizing and conducting training sessions.
Stakeholder Engagement Partner with internal and external business functions to ensure global master data is maintained at the highest quality level.
Continuous Improvement & Documentation Document lessons learned, develop contingency plans, and support continuous improvement efforts aligned with organizational standards like One Renesas.

Key Performance Measures:

Meeting Project Milestones
Responsiveness to Internal Customers
Supply Chain Planning accuracy
Internal Customer satisfaction
Master Data Accuracy
On time delivery of Data analysis to stakeholders

Knowledge, Skills And Experience:

Data Analysis & Problem-Solving Ability to analyze large datasets, identify trends, and recommend actionable insights. VBA/ Python skills
Stakeholder Communication Ability to work with Planners, Operations, IT, and Suppliers to align supply chain strategies.
Process Optimization Experience in LEAN, Six Sigma, or other continuous improvement methodologies
ERP & Analytics Tools Hands-on experience with SAP MM, PP, IBP, Kinaxis, or Python for automation and analysis
Project Management Ability to manage cross-functional projects using Agile or Waterfall methodologies
Semiconductor Supply Chain Understanding of wafer fabrication, assembly, and test processes, long lead times, and capacity constraints
Supply Chain Planning & Execution Familiarity with concepts like Demand Planning, Supply Planning, Order Management, Inventory Optimization, and Logistics.
ERP & APS Systems Familiarity with SAP S/4HANA, Kinaxis Rapid Response or other advanced planning systems
Data Analytics & Reporting Understanding of data models, SQL, dashboards (Power BI/Tableau), and KPIs like cycle time, OTD, and inventory turns.
Excellent Business English, written and verbal communication skills.

Qualifications

University degree or master's in mechanical / industrial engineering / mathematics
5-8 years of overall experience ind. SAP system knowledge
4+ years of experience with technical and commercial responsibility, preferable in the semiconductor related industry
Must have Basic Supply Chain Management (SCM) Knowledge.
This role involves 90% of Data Analysis and 10% of reporting.
Strong conceptual problem solving, and analytical skills
Strong interpersonal skills including teamwork, facilitation and negotiation
Ability to think creatively and produce innovative solutions
Own initiative and resilience
Project Management Certification is a plus

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
\n
\nWith a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’
\n
\nAt Renesas, you can:

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

Company Description

Your Mission:

At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, we need bulletproof reporting on and insights into our Treasury operations. Whether that’s timely and accurate reporting to perform critical controls, or investigations into inefficiencies and improvement areas in our money movement network, data performs a central role in optimising our team’s decisions and processes.

Job Description

We’re on the hunt for a Senior Data Analyst to join our Treasury team in Shoreditch, London.

You’ll be part of a team that fundamentally powers the Wise product and mission!
What you’ll be doing:
Curating datasets, surfacing metrics, sizing opportunities, and deeper dive analysis to discover inefficiencies and optimise the team’s approach to money movement
Building and maintaining critical data pipelines
Hunting down and diagnosing unusual behaviour or anomalies with our trades and payments
Liaising with FX, Liquidity and Operations teams to understand how to improve processes to achieve lower costs and risks and these areas

Who You Are

Advanced Sql Skills
Experience building data pipelines
Strong Analytical Ability
3-5 years experience in similar roles
Data visualisation and storytelling ability
Ability to self organise and manage stakeholders
Demonstration of impact/going above and beyond basic role requirements
Python/R for data manipulation and analysis
Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)

Desirable

Dbt
Data modelling in a warehouse context
Experience working with financial or payments data

Some important stuff we would like you to know

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

What Do We Offer:

Salary: £60,000 - £75,000
Company Restricted Stock Units
Numerous great benefits in our London office
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

Key Benefits:

Hybrid Working

Additional Information

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":25,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-18","description":"

Company Description

Job Description

Job Purpose & Dimensions:

Support One Renesas SCM Master data Project team to meet milestones & Project End Goal
Support Data migration activities in Integration Project
Support in User testing and validation of Master data according to the Project Plan
Support Master data governance process
Support Operational activities related to Master Data

Principal Accountabilities:

Cross-Functional Collaboration Work closely with various teams across the organization to maintain, enhance, and harmonize master data systems and processes.
Data Quality & Integrity Ensure high-quality master data by performing root cause analysis, implementing corrective actions, and regularly reviewing key parameters (e.g., yield, lead time, buffer stocks, vendor costs).
Automation & Process Improvement Drive automation and harmonization of data maintenance processes to improve efficiency and consistency.
Project & Change Management Lead and support initiatives, enhancements, and projects related to master data and reporting, including functional specifications, design reviews, testing phases, and user training.
Training & Knowledge Sharing Train Master Data team members and other departments on tools, processes, and best practices, including organizing and conducting training sessions.
Stakeholder Engagement Partner with internal and external business functions to ensure global master data is maintained at the highest quality level.
Continuous Improvement & Documentation Document lessons learned, develop contingency plans, and support continuous improvement efforts aligned with organizational standards like One Renesas.

Key Performance Measures:

Meeting Project Milestones
Responsiveness to Internal Customers
Supply Chain Planning accuracy
Internal Customer satisfaction
Master Data Accuracy
On time delivery of Data analysis to stakeholders

Knowledge, Skills And Experience:

Data Analysis & Problem-Solving Ability to analyze large datasets, identify trends, and recommend actionable insights. VBA/ Python skills
Stakeholder Communication Ability to work with Planners, Operations, IT, and Suppliers to align supply chain strategies.
Process Optimization Experience in LEAN, Six Sigma, or other continuous improvement methodologies
ERP & Analytics Tools Hands-on experience with SAP MM, PP, IBP, Kinaxis, or Python for automation and analysis
Project Management Ability to manage cross-functional projects using Agile or Waterfall methodologies
Semiconductor Supply Chain Understanding of wafer fabrication, assembly, and test processes, long lead times, and capacity constraints
Supply Chain Planning & Execution Familiarity with concepts like Demand Planning, Supply Planning, Order Management, Inventory Optimization, and Logistics.
ERP & APS Systems Familiarity with SAP S/4HANA, Kinaxis Rapid Response or other advanced planning systems
Data Analytics & Reporting Understanding of data models, SQL, dashboards (Power BI/Tableau), and KPIs like cycle time, OTD, and inventory turns.
Excellent Business English, written and verbal communication skills.

Qualifications

University degree or master's in mechanical / industrial engineering / mathematics
5-8 years of overall experience ind. SAP system knowledge
4+ years of experience with technical and commercial responsibility, preferable in the semiconductor related industry
Must have Basic Supply Chain Management (SCM) Knowledge.
This role involves 90% of Data Analysis and 10% of reporting.
Strong conceptual problem solving, and analytical skills
Strong interpersonal skills including teamwork, facilitation and negotiation
Ability to think creatively and produce innovative solutions
Own initiative and resilience
Project Management Certification is a plus

Additional Information

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

Role Summary

We are seeking a Senior Data Analyst / Engineer with strong experience in manufacturing control systems data, data authentication, and readiness engineering. This role will ensure data ingested from manufacturing systems into Client's data lake and downstream applications (e.g., PI) is fit-for-purpose, reliable, and trustworthy.

The successful candidate will work directly with manufacturing system owners, the CDL data lake team, and business stakeholders to resolve data integrity issues surfaced during the Trailblazer deployment.

Key Responsibilities

Analyze, validate, and authenticate data sets from manufacturing systems (SCADA, PLC, control systems).
Identify gaps, missing values, and integrity issues in structured and semi-structured data.
Implement data readiness and authentication protocols to ensure “fit-for-purpose” ingestion.
Develop automation scripts, pipelines, and data preparation workflows to streamline readiness processes.
Collaborate with CDL ingestion teams to fix and enrich data before and after ingestion into the CDL.
Work with stakeholders to define data requirements per application, e.g., PI datasets.
Provide technical support to parallel Trailblazer rollouts across multiple manufacturing sites.
Create and maintain documentation for data readiness processes, authentication standards, and audit protocols.
Contribute to building audit controls and monitoring frameworks for ongoing data integrity.

Required Skills & Experience

6–10 years’ experience as a Data Analyst / Engineer in manufacturing or industrial data environments.
Strong understanding of SCADA, PLC, and manufacturing control systems data.
Experience with data lakes (Azure/AWS/GCP) and relational database systems.
Hands-on experience in data authentication, cleansing, validation, and readiness engineering.
Proficiency in SQL, Python, or equivalent scripting for data processing/automation.
Familiarity with PI (OSIsoft / Aveva) or other manufacturing data historians (trainable by Deen).
Strong problem-solving skills for working with ambiguous or incomplete data sets.
Ability to collaborate with both technical and functional (system owners, BSA) stakeholders.
Excellent communication skills to bridge system data owners and engineering teams.

Desirable / Nice-To-Have

Prior experience with data process automation in manufacturing systems.
Exposure to audit/compliance controls in pharma or life sciences manufacturing.
Working knowledge of data visualization and reporting tools.
Familiarity with Agile/PI planning environments.

","hiringOrganization":{"@type":"Organization","name":"Milestone Technologies, Inc.","sameAs":"https://milestone.tech/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, IN"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-18","description":"

Company Description

Keypath Education – Ranked Best Place to Work by WRK+ (2021 – 2024)

At Keypath, we invite you to be part of something transformative. As a global EdTech leader, we collaborate with prestigious universities to create and deliver online education solutions that tackle global social and economic challenges head-on.

Join our dynamic, fast-growing international team that thrives on collaboration, innovation, and lifelong learning. With offices in Australia and SE Asia, we are truly a global company.

Work Anywhere:

At Keypath Education, flexibility is our strength. We put our people first, allowing you to choose where you work – from home, in the office, or both.

This role is a permanent, full-time role. Only candidates located in Malaysia, and Malaysians or non-Malaysians with a valid permit to work in Malaysia will be considered for this role.

Job Description

Are you passionate about turning data into meaningful insights that drive strategic decisions? Keypath is seeking a dynamic and detail-oriented Senior Data Analyst to join our Growth team and play a pivotal role in shaping the future of online education across the APAC region. This role is central to our mission of becoming the leading provider of online education, supporting performance targets through high-impact analytics and insights.

Reporting to the Director, Product Strategy and Insights, the Senior Data Analyst will work collaboratively across teams to enhance data accessibility, build robust insights capabilities, and embed a data-driven mindset throughout the business.

You’ll be instrumental in delivering high-quality analytics, automating reporting processes, and developing scalable, self-service dashboards using PowerBI. With a strong focus on stakeholder engagement and cross-functional influence, this role offers the opportunity to contribute to strategic initiatives, drive operational excellence, and champion best practices in data management and storytelling.

Responsibilities Include The Following:

Performance Analysis & Forecasting

Analyse and interpret performance data across lead-to-start conversion, student acquisition, and forecasting models to support strategic decision-making and pacing against targets.
Deliver timely insights through weekly performance monitoring, budget variance analysis, and proactive data investigations, providing recommendations to stakeholders.
Collaborate with business leaders to define and implement key performance indicators, enabling a data-driven culture and operational excellence across the organisation.

Strategic Insight Development

Turn data into actionable insights and recommendations and effectively communicate these in written and verbal form to senior management teams to drive strategic and operational decision-making.
Conduct proactive data analysis to uncover market trends and opportunities within the postgraduate education sector, leveraging Keypath's internal datasets to provide competitive intelligence and growth recommendations.

Reporting Automation & Visualisation

Lead the automation of all existing reporting processes using Power BI, SQL, and Azure tools.
Collaborate with Data Engineers to build scalable, interactive dashboards and reports.
Ensure consistency, accuracy, and timeliness of all automated reporting outputs

Marketing Analytics

Analyse marketing mix effectiveness and ROI, providing data-driven recommendations to optimise strategy and spend.

Data Infrastructure & Quality

Work with the Data Engineering team to ensure data pipelines are reliable and accessible.
Advocate for data quality improvements and best practices in CRM and source systems.

Stakeholder Engagement

Translate complex data into clear, compelling insights for non-technical stakeholders.
Present findings and recommendations to senior leadership to support decision-making.

Qualifications

Education

Relevant degree or qualification in Data Analytics, Data Science, Business Analytics, Mathematics, or Statistics.

Experience

7+ years in a data analytics role, preferably in a fast-paced or education-related environment.
Proven experience automating reporting processes and building dashboards in Power BI.
Strong experience with SQL and data manipulation across multiple sources.
Demonstrated ability to influence stakeholders through data storytelling and insight delivery.
Experience working collaboratively with Data Engineers.
Proven experience in analysing multiple data sources to develop insights that solve business problems and unearth opportunities
Proven data visualisation, storytelling and presentation skills to translate data into actionable insights that non-technical stakeholders can understand and leverage
Ability to work with a high level of autonomy to successfully deliver business objectives
Ability to thrive in a dynamic, rapidly evolving work environment.
Experience within the Education Industry is highly valued.

Technical

Proficiency in Power BI (including DAX and Power Query).
Strong SQL and Python skills; experience with Azure Data Studio and/or Azure Analysis Services is a plus.
Understanding of data warehousing and data modelling principles.
Familiarity with CRM systems and marketing analytics tools
An understanding of database systems and data warehousing methodologies would be desirable
Strategic thinking, prioritisation and organisational skills
Ability to communicate effectively with both technical and non-technical stakeholders
Shows strong abilities in verbal and written communication and interpersonal leadership.
Self-driven and proactive, willingly assumes accountability.
Proficiency in Microsoft Office Suite.

Core Competencies

Analytical mindset with attention to detail and accuracy.
Strong verbal and written communication skills.
Self-driven, proactive, and accountable.
Ability to work independently and collaboratively in a dynamic environment.
Strategic thinker with strong organisational and prioritisation skills

Additional Information

At Keypath, we put our people first. We’re committed to creating a flexible, inclusive, and supportive work environment where you can thrive. Here’s what you can expect as part of our team:

Benefits And Rewards:

Opportunity to work in office, hybrid or remotely
All the necessary equipment for success including laptop
Access to health & wellbeing programs including an Employee Assistance Program and Mental Health Days
Learning & growth opportunities including access to LinkedIn Learning, Career Development Programs and Learning Labs
Employee led Initiatives such as Culture Club, Team Green, Sustainability and more
Company events and activities run in office and remotely

Why Keypath?

Global EdTech Leader: Join an industry on the rise.
Transform the World: Contribute to upskilling and reskilling globally.
Make an Impact: Help solve future economic and social challenges.

Join Keypath and make a difference. We welcome applicants from diverse backgrounds and offer inclusive support throughout the recruitment process.

Apply now to unlock your potential with Keypath!

","hiringOrganization":{"@type":"Organization","name":"Keypath Education","sameAs":"https://keypathedu.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia","addressCountry":"Malaysia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-18","description":"

Position Title: Senior Data Analyst Job Family: IT Functional & Process Design Position Level (Grade): E5 (Expert 5) / Hay grade 16

Location - EU or east coast US.

Position Objective: The Senior Data Analyst acts as a leader within the data and analytics team, responsible for steering the most complex and high-impact data initiatives. This role is pivotal in translating strategic business needs into well-architected data solutions, from global data transformation to enterprise-level reporting. The Senior Data Analyst operates with a high degree of autonomy, serving as a subject matter expert and a proxy for the product owner when needed, ensuring that the solutions we build are robust, scalable, and directly aligned with organizational goals.

Key Responsibilities:

Lead Solution Design: Independently lead and manage the end-to-end data solutioning process for multiple, complex initiatives, owning initial discovery, requirements elicitation and design, and partnering with development, qa and implementation teams to ensure business objectives are met.
Strategic Requirements Definition: Partner with senior leadership and business stakeholders to deconstruct ambiguous problems, shape business cases, and define strategic requirements for data transformation, migration, and analytics solutions.
Project and Team Leadership: Guide and coordinate the analytical effort on large-scale initiatives, which may include overseeing the work of other Data Analysts. Mentor junior team members on best practices in requirements gathering, data analysis, and solution design.
Complex Analysis: Perform advanced analysis and profiling to support solution design. Create and own critical artifacts, including source-to-target data maps, comprehensive data dictionaries, process flows, and wireframes for complex visualizations.
Stakeholder Management: Act as the primary liaison between business units and technical development teams on critical projects. Proactively manage stakeholder expectations, negotiate priorities, and ensure a shared understanding of project goals and outcomes.
Product Owner Proxy: Develop a deep understanding of the business domain and product vision, enabling you to seamlessly fill in for the product owner/leader in key meetings and decision-making processes when required.

Skills And Experience:

Experience: 5-7+ years of experience in a Data Analyst, Business Systems Analyst, or similar role, with a proven track record of leading complex projects.
Leadership: Demonstrated ability to lead project workstreams, mentor others, and influence stakeholders at all levels. Experience handling unstructured and fluid work environments with minimal guidance.
Data Proficiency (Advanced):
Agile & Business Analysis: Expertise in Agile development methodologies. Proven ability to create high-quality user stories, process flows, and test plans. Experience with tools like JIRA and Confluence.
Expert-level SQL skills for complex data querying and analysis.
Deep experience with the full lifecycle of data transformation, including source data discovery, profiling, and creating detailed source-to-target mapping documentation.
Proficiency in defining requirements for BI and analytics solutions, including metrics, wireframes, and visualizations (using tools like Tableau, Data Studio, etc.).
Strong understanding of data architecture, ETL/ELT processes, and data modeling concepts.

Project Specific Expectations:

A seasoned professional who is a self-starter and is proactive; does not wait to be given direction
Strong Analytical Mindset
Strong Sql Skills
Excellent written and verbal communication skills to effectively communicate with business stakeholders
Able to effectively manage stakeholders and persistently follow up on open items until fully resolved
Detail-oriented with a strong commitment to data quality
Well Organized
Able to work independently and collaboratively in a team environment with limited direction and without constant supervision
Able to communicate with developers and QAs
Able to quickly grasp concepts and connect siloed concepts to the bigger end-to-end picture
Thinks through how a change will impact other areas
Can translate business logic into technical requirements
Able to analyze data to identify anomalies and potential issues in business provided mapping logic
Able to adapt to changing requirements and team needs
Comfortable in a fast-paced and ever-changing environment
Good Documentation Skills
Is timely and not hesitant in surfacing issues
Team player, comfortable working with and supporting a distributed team across different countries and timezones
Experience with BigQuery, Google Sheets and Jira would be a plus
Experience in automations and scripting is a plus

To Apply:

Please submit your resume and cover letter to jennifer.roberts@randstadsourceright.co.uk

","hiringOrganization":{"@type":"Organization","name":"Randstad","sameAs":"https://www.randstad.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Diemen, Diemermere [TTG-0099], Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Analyst, CSR & Sustainability","datePosted":"2025-09-18","description":"

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary
This position is responsible for supporting Enterprise sustainability data collection and analysis, including energy and emissions, plastic, water, and waste, among others. The Senior Analyst, Sustainability Data will collect data across the enterprise for annual ESG reporting projects, including social program data such as philanthropy, human capital, DEI, supply chain/procurement, etc. They will maintain sustainability data dashboards, analyze trends and projections, maintain data systems, input data into data platforms, work with SMEs to address data quality issues, and track progress to ESG goals and roadmap.

Stakeholder Communication/Engagement:

Liaison with key partners across the business for data collection of social programs, including philanthropy, human capital, and DEI, to align with ESG roadmap and goals
Support ad hoc data requests within the larger Sustainability team

Data Infrastructure Optimization:

Collaborate with data scientists, data engineers & data consumers to ensure datasets are properly prepared for advanced analytics or machine learning models
Support Data Integration of Data Systems such as Workiva and Cloud for Sustainability
Translate complex technical data concepts into business language and vice versa

Data Analysis & Reporting:

Perform data analysis, trend analysis, and impact valuation to derive actionable insights for business improvement such as key sustainability targets, including plastic reduction and Net Zero goals
Support data process and controls for external and internal reporting initiatives such as the Impact Report, CDP, EPR, and various systems
Support data collection and monitoring of enterprise sustainability initiatives, procurement, emissions and energy, plastic, water, waste, and other environmental sustainability data
Build and monitor sustainability data dashboards, analyzing internal and external trends and projections

Required Qualifications

3+ years professional experience in data management.
Proficiency in Microsoft Excel, Microsoft Word, and PowerPoint.
3 years professional experience with sustainability insight platforms such as Workiva, Google Cloud Platform, or Cloud for Sustainability.
Experience with SQL and database management.
Familiarity with data visualization tools such as Tableau, and PowerBI.
Knowledge of programming languages
Understanding of data governance and data quality management

Preferred Qualifications

5 years professional experience, preferably with data management, sustainability, and/or environmental/social impact background.
Familiarity with environmental sustainability workstreams, including waste, plastic, or energy.
Experience and/or interest in environmental, social, and governance rating and ranking agencies (Sustainalytics, MSCI, ISS, CDP, etc.).
Some experience or knowledge of key sustainability reporting frameworks, including but not limited to GRI, TCFD, and SASB.
Analytical, critical thinking, and quantitative skills.

Education

Bachelor’s degree or relevant equivalent work experience
Master’s degree (Preferred)

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$46,988.00 - $112,200.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 10/05/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

","hiringOrganization":{"@type":"Organization","name":"CVS Health","sameAs":"https://cvshealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Woonsocket-1 CVS Drive, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"[8AL] Senior Data Analyst","datePosted":"2025-09-17","description":"

Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Job Description

Overview
Software Mind is seeking qualified candidates located in Latin America to fill the role of Senior Data Analyst.
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer:
Flexible schedules
An authentic work-life balance
Payment in US Dollars
About the Role

We are seeking a highly skilled Senior Data Analyst to join our client’s team. Reporting to the Director of Analytics, this role will be instrumental in enabling data-driven decision-making throughout the organization.

Qualifications

Priorities For The Role:

Understand the ins and outs of the performance marketing space, including how campaigns are set up across various platforms, how budgets are allocated, and how revenue, spend, and traffic are tracked and attributed across channels and campaigns.
Build a strong partnership with the brand and performance marketing teams.
Create or help create a framework for comprehensive measurement of marketing, which includes attribution and a controlled experiment framework.
Some of the main responsibilities for the role include:
Proactively identify trends and patterns in data to inform strategic decision-making
Conduct ad-hoc analysis to support various departments including marketing, product development, and supply chain
Develop and maintain advanced SQL queries to extract and manipulate data from databases efficiently
Utilize Python to analyze large datasets and develop data-driven insights to support business objectives
Collaborate with cross-functional teams to identify opportunities for leveraging data to solve business challenges
Design and implement data visualizations and dashboards to communicate insights effectively to stakeholders

Additional note: Senior Data Analyst may need to speak with internal business stakeholders. Python, SQL, A/B testing experience with marketing, 4-5 years of experience. If e-commerce or marketing experience is even better. This person will be working with customer buying data as well as marketing data.

Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills
- 5+ years of experience working as a data analyst, preferably in a retail or e-commerce environment.
- Understand foundational advertising P&L concepts, including diminishing/marginal returns, elasticity, and incrementality.
- Strong proficiency in SQL with the ability to write complex queries to extract and manipulate data.
- Proficiency in Python or R for data analysis, including libraries such as Pandas, NumPy, and Matplotlib.
- Experience working with large datasets and performing statistical analysis.
- Excellent communication skills with the ability to translate complex findings into actionable insights.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Intermediate level experience with data visualization tools such as Tableau, Power BI, or Looker.
- Ability to think in terms of creating data products in collaboration with engineers that have staying power in terms of usability and adoption.
Non-negotiables for the Senior Data Analyst role:
1. Expertise in marketing measurement, including but not limited to:
- Brand tracking studies using surveys, focus groups, and industry reports
- Attribution modeling, e.g., click-based models, media mix models, controlled experimentation
2. Expertise in conducting advanced data analysis (using SQL and Python/R). Preferably within Performance marketing and Web Analytics
3. Strong communication skills
4. Prior experience in eCommerce retail
Preferred Qualifications:
- Knowledge of machine learning techniques, forecasting, and algorithms.
- Familiarity with data warehousing concepts and technologies.

#Li-Dni

Additional Information

Skillset: Data Analyst, Data Analytics

Flexibility: Preferred Qualifications: Knowledge of machine learning techniques, forecasting, and algorithms. Familiarity with data warehousing concepts and technologies.

","hiringOrganization":{"@type":"Organization","name":"Software Mind","sameAs":"https://softwaremind.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San José, San José Province, Costa Rica","addressCountry":"Costa Rica","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Data Analyst - HR Analytics","datePosted":"2025-09-17","description":"

Who We Are:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within Human Resources Function, translating data into actionable insights that improve engagement, decision-making, and key business KPIs for our HR leadership team and executives.
You will work closely with stakeholders across HR, Product, Data Engineering, and Business Strategy to identify opportunities for HR analysis, automate report generation, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.

What You’Ll Do:

Independently own and drive key analytics initiatives in Human Resources, proactively identifying insights that drive decisions on talent strategy, compensation, and retention.
Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights. Utilize AI as a force multiplier to uncover new and unique insights.
Partner with our data engineering team to integrate systems that drive workflow automation across the HR platform.
Develop frameworks to measure Retention, Employee Engagement, Revenue Per Employee, and other key HR metrics, ensuring data-driven decision-making.
Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
Work closely with stakeholders across HR, Data Engineering, and Product to align analytics initiatives with business needs.
Data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
Ensure HR data integrity, privacy, and compliance with global regulatory requirements (GDPR, etc.).

What You’Ll Need:

7+ years of experience in data analytics, with a focus on Human Resources, Business Strategy, or Process Optimization.
Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
Experience in HR analytics such as workforce efficiency, process optimization, compensation modeling, and compliance analytics.
Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
Strong problem-solving skills and a proactive mindset to identify business opportunities using data

Bonus Points:

Experience with ML/AI applications in HR (e.g., anomaly detection, predictive modeling, workforce automation).
Familiarity with event-tracking frameworks and behavioral analytics.
Strong data storytelling skills—can translate complex data into concise, compelling narratives.
Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
Knowledge of HRIS platforms, APIs, and data integrations.

What’S In It For You?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. The expected salary range for this position is $140,000 - $160,000 dependent on skills and location. The salary range is a good faith estimate based on what a successful candidate might be paid in certain Company locations. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location and may be above or below the stated amounts. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Notice for California residents: Information about how we collect and use your personal information can be found here.

#Li-Mw1

\n","hiringOrganization":{"@type":"Organization","name":"Zinnia","sameAs":"https://zinnia.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Greenwich, CT - Hybrid","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Analyst I - Supply Chain Analytics","datePosted":"2025-09-17","description":"

Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

Revolutionizing the dental industry is hard…and we need help.

We're on the hunt for experienced senior data analysts who can tackle some of our most significant challenges in the realm of analytics within our supply chain and manufacturing operations. Our Operations team plays a pivotal role in Dandy's dental operations, overseeing critical areas like production management, workforce analytics and supply chain optimization. In this dynamic, cross-functional role, you'll have the freedom to independently harness data analysis to drive recommendations that propel Dandy to become the top dental lab in the industry.

Your Responsibilities/Opportunities

Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams
Build production management and capacity planning systems to help the business execute and scale
Define the data language (i.e. KPIs, dashboards, measurement, etc) to ensure your team grasps the underlying truth that drives progress and success
Facilitate rapid decision making through ad hoc work or by democratizing data/self service (effective BI or user-friendly explores in Looker in partnership with our data engineers)
Utilize your data super powers to reduce ambiguity and solve problems
Mentor other analysts and help them grow

About You:

4+ years of experience working in data analytics or data science, ideally in a B2B operations setting
BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills
Excellent Sql Skills
Strong scripting Python skills
Previous experience building workforce management, capacity modeling, or production planning systems
Familiarity with operations research and supply chain management concepts
Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead
Strong senses of autonomy and ownership
Strong critical thinking, problem solving, and statistical skills

Bonus Points:

Have experience turning vague operational problems and turning them into statistically rigorous analyses & solutions (i.e causal inference, predictive modeling)
Interest in working and learning in an earlier stage company where we’re still working out some of the basics
Bias for action and desire to work in a fast-paced, collaborative environment
Strong customer empathy, particularly for dentists
Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster)
Req ID: J-706

For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

","hiringOrganization":{"@type":"Organization","name":"Dandy","sameAs":"https://www.meetdandy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-17","description":"

Company Description

Job Description

Job Purpose & Dimensions:

Support OneRenesas SCM Master data Project team to meet milestones & Project End Goal
Support Data migration activities in Integration Project
Support in User testing and validation of Master data according to the Project Plan
Support Master data governance process
Support Operational activities related to Master Data

Principal Accountabilities:

Cross-Functional Collaboration\nWork closely with various teams across the organization to maintain, enhance, and harmonize master data systems and processes.
Data Quality & Integrity\nEnsure high-quality master data by performing root cause analysis, implementing corrective actions, and regularly reviewing key parameters (e.g., yield, lead time, buffer stocks, vendor costs).
Automation & Process Improvement\nDrive automation and harmonization of data maintenance processes to improve efficiency and consistency.
Project & Change Management\nLead and support initiatives, enhancements, and projects related to master data and reporting, including functional specifications, design reviews, testing phases, and user training.
Training & Knowledge Sharing\nTrain Master Data team members and other departments on tools, processes, and best practices, including organizing and conducting training sessions.
Stakeholder Engagement\nPartner with internal and external business functions to ensure global master data is maintained at the highest quality level.
Continuous Improvement & Documentation\nDocument lessons learned, develop contingency plans, and support continuous improvement efforts aligned with organizational standards like OneRenesas.

Key Performance Measures:

90% of Data Analysis and 10% of reporting
Meeting Project Milestones
Responsiveness to Internal Customers
Supply Chain Planning accuracy
Internal Customer satisfaction
Master Data Accuracy
On time delivery of Data analysis to stakeholders

Knowledge, Skills And Experience:

Data Analysis & Problem-Solving Ability to analyze large datasets, identify trends, and recommend actionable insights. VBA/ Python skills
Stakeholder Communication Ability to work with Planners, Operations, IT, and Suppliers to align supply chain strategies.
Process Optimization Experience in LEAN, Six Sigma, or other continuous improvement methodologies
ERP & Analytics Tools Hands-on experience with SAP MM, PP, IBP, Kinaxis, or Python for automation and analysis
Project Management Ability to manage cross-functional projects using Agile or Waterfall methodologies
Semiconductor Supply Chain Understanding of wafer fabrication, assembly, and test processes, long lead times, and capacity constraints
Supply Chain Planning & Execution Familiarity with concepts like Demand Planning, Supply Planning, Order Management, Inventory Optimization, and Logistics.
ERP & APS Systems Familiarity with SAP S/4HANA, Kinaxis Rapid Response or other advanced planning systems
Data Analytics & Reporting Understanding of data models, SQL, dashboards (Power BI/Tableau), and KPIs like cycle time, OTD, and inventory turns.
Excellent Business English, written and verbal communication skills.

Qualifications

University degree or master's in mechanical / industrial engineering / mathematics
5-8 years of overall experience ind. SAP system knowledge
4+ years of experience with technical and commercial responsibility, preferable in the semiconductor related industry
Basic Supply Chain Management (SCM) Knowledge
Strong conceptual problem solving, and analytical skills
Strong interpersonal skills including teamwork, facilitation and negotiation
Ability to think creatively and produce innovative solutions
Own initiative and resilience
Project Management Certification is a plus

Additional Information

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

","hiringOrganization":{"@type":"Organization","name":"Renesas Electronics","sameAs":"https://www.renesas.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-17","description":"Dematic is looking for a versatile Senior Data Analyst with tactical expertise in data validation, workflow automation, quality control methods to ensure accuracy, and ability to mentor junior colleagues.

In this role, you'll:
Support ERP migration by developing tools to translate project cost estimates from our legacy WBS (Work Breakdown Structure) to the new system.
Update model-based product costing by refreshing material cost data used in statistical linear regression models.
Build function-based statistical cost models to support estimating across a wide range of solution types.
Collaborate internationally with multi-functional teams to **improve** data integrity and reliability throughout our quoting platforms.
This is a high-impact opportunity for someone who thrives on using data to drive decision-making and wants to contribute to scalable solutions within a dynamic, international organization.

We Offer:

Career Development
Competitive Compensation and Benefits
Pay Transparency
Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $100,500-$134,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks And Qualifications:

This is What You Will do in This Role:

Apply company resources to investigate, understand, and report data mapping from legacy to new WBS
Develop tools to be used by multiple business units for translating artifacts to reflect the new WBS, such as quoting and costing database files, Maestro drawing cost options, and project cost reports
Publish a Scenario Book transparency report, similar to the existing Service Book transparency report
Support the Product Costing team with their annual Cost Book refresh efforts
Establish a function-based Cost Book utilizing statistical material and project costs
Support the growth and development of junior data analysts

What We Are Looking For:

Required

Experience with SQL
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Strong knowledge of BI tools and platforms – PowerQuery and Power BI most useful
Strong written/verbal communication skills
Proven ability presenting data findings in simple and easy to understand ways
Excellent skills with MS Excel
Outstanding team interaction and communication skills

Nice To Have

Experience in the supply chain solutions industry, or a related field
Ability to read complex product drawings and assess product Bills of Material
Experience with Knime Analytics
Ability to work with global colleagues
Ability to set and meet deadlines
Ability to work in high-pressure situations

Education

Bachelor’s degree in Engineering, Computer Science, Information Systems, Business, Supply Chain Management, or a related field.
Equivalent work experience may be considered in place of one of the listed degrees.

Location & Authorization: This is a hybrid role requiring proximity to our Grand Rapids, MI office. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

#Li-Dp1

","hiringOrganization":{"@type":"Organization","name":"KION Group","sameAs":"https://www.kiongroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Grand Rapids, MI, United States, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-17","description":"

Company:

Marsh

Description:

Senior Data Analyst

We will count on you to:

Performs data analysis utilizing knowledge of insurance and data handling to support business improvement and business strategy projects.
Develops analytical reports of medium/high complexity to allow fact-based, predictive and 'what-if' decision-making.
Manipulates and formats data according to predetermined presentation styles to meet customer needs.
Organizes data according to reporting requirements such that key insights can be identified by experienced colleagues (and independently identifies some insights as appropriate).
Implements medium/high complexity methodologies within the department, working with colleagues within Business Analytics and IT to maintain and improve the reporting infrastructure, including data housing, data modeling, report performance, and report design and delivery tools.
Supports departmental activities to comply with industry regulatory requirements such as compliance standards, health and environmental policy, and department- and operating company-specific procedures and guidelines.
Ensures that incoming work is handled effectively, promptly (in line with Key Performance Indicators and other deadlines) and accurately so that the needs of internal and external customers are consistently met and exceeded.
Demonstrates flexibility in approach and follow up to achieve resolution of outstanding issues.

What You Need To Have:

Proven experience in translating business strategies into requirements.
Strong proficiency in programming with Python.
Extensive experience with Power BI, Qlik Sense, and QlikView.
Excellent communication skills to liaise with technical teams and stakeholders.

What Makes You Stand Out:

Experience in creating and managing dashboards for high-level leadership.
Familiarity with requirements management tools and methodologies.
Strong analytical skills and attention to detail.

A Marsh, um negócio da Marsh McLennan (NYSE: MMC), é líder global em corretagem de seguros e consultoria de riscos. A Marsh McLennan, líder global em risco, estratégia e pessoas, assessora clientes em 130 países através de quatro negócios: Marsh, Guy Carpenter, Mercer e Oliver Wyman. Com receita anual de US$ 24 bilhões e mais de 90.000 colegas, a Marsh McLennan ajuda a construir a confiança para prosperar pelo poder da perspectiva. Para obter mais informações, visite marsh.com e siga-nos no LinkedIn e X.A Marsh McLennan está comprometida em criar um ambiente de trabalho diverso, inclusivo e flexível. Nosso objetivo é atrair e reter as melhores pessoas e abraçar a diversidade de idade, origem, deficiência, origem étnica, responsabilidades familiares, orientação ou expressão de gênero, estado civil, nacionalidade, estado parental, status pessoal ou social, filiação política, raça, religião e crenças, sexo/gênero, orientação ou expressão sexual, cor da pele ou qualquer outra característica protegida pela lei aplicável.A Marsh McLennan está comprometida com o trabalho híbrido, que inclui a flexibilidade de trabalhar remotamente e os benefícios de colaboração, conexões e desenvolvimento profissional de trabalhar juntos no escritório. Todos os colegas da Marsh McLennan devem estar em seu escritório local ou trabalhando no local com os clientes pelo menos três dias por semana. As equipes baseadas no escritório identificarão pelo menos um \"dia âncora\" por semana em que toda a equipe estará junta pessoalmente.","hiringOrganization":{"@type":"Organization","name":"Marsh McLennan","sameAs":"https://www.marshmclennan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sao Paulo - EZTowers, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Data Analyst, Member Experience","datePosted":"2025-09-16","description":"ABOUT THRIVE MARKET
Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,600,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company.
Join us as we bring healthy and sustainable living to millions of Americans in the years to come.
THE ROLE
At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we’re looking for a Senior Data Analyst (Member Experience) to play a critical role in turning data into strategic insight - guiding decisions for the Member Services team.
This role goes beyond building dashboards or pulling reports. Reporting into the Data Engineering Manager, you'll help translate complex data into clear, actionable insights that shape business outcomes. Whether it's analyzing member behavior, identifying pricing opportunities, or supporting cross-functional initiatives, you'll bring rigor, curiosity, and clarity to every conversation.
You’ll be a trusted analytics partner to leaders across Thrive Market, connecting data to real-world outcomes, and helping teams make smarter, faster decisions every day.\n

Responsibilities

Lead high-impact, end-to-end analytics projects that inform key business and product strategies.
Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks.
Deliver clear, data-driven insights that influence decision-making across the organization.
Design and maintain dashboards, models, and datasets that empower business teams to self-serve and track performance.
Identify data quality issues and help resolve inconsistencies across source systems.
Leverage external and internal data to uncover category and pricing opportunities.
Support lifecycle and engagement analytics to inform retention, LTV, and user journey improvements.
Collaborate with Finance to measure and forecast the financial impact of product and business decisions.
Respond to ad hoc analytical requests with accuracy, efficiency, and business context.
Bring thought leadership to Thrive Market’s data practices — recommending new ways to enhance our analytical toolkit and processes.

Support Member Engagement:

Partner with the Member Experiences team to analyze the full end-to-end customer journey, identifying friction points across ordering, fulfillment, and post-purchase experiences.
Develop dashboards and reporting that monitor engagement metrics, satisfaction drivers, and support ticket trends, surfacing actionable insights to reduce customer complaints.
Deliver data-driven recommendations to improve customer sentiment and retention, focusing on proactive strategies that lower support volume and enhance overall member experience.

Qualifications

MBA with a focus in analytics, strategy, or a related quantitative field.
7+ years of experience in data analytics, with a strong track record of business impact.
Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C++).
Experience with large-scale data tools such as Hive, Spark, or similar.
Hands-on experience with Snowflake or other modern cloud data warehouses.
Strong foundation in statistics and multivariate regression.
Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.).
Ability to clearly communicate insights to non-technical audiences and influence decision-making.
Experience in eCommerce or subscription businesses is a strong plus.
Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis.
Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset.

Belong To A Better Company

Comprehensive health benefits (medical, dental, vision, life and disability)
Competitive salary (DOE) + equity
401k plan
9 Observed Holidays
Flexible Paid Time Off
Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
Ability to work in our beautiful office in Playa Vista
Free Thrive Market membership with exclusive employee discount
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer

At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!

If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you.

www.thrivemarket.com

Job Information

Compensation Description - The base salary range for this position is $130,000 - $170,000/Per Year.
Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.
Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

","hiringOrganization":{"@type":"Organization","name":"Thrive Market","sameAs":"https://thrivemarket.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles or Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior Data Analyst, Lifecycle Marketing","datePosted":"2025-09-16","description":"ABOUT THRIVE MARKET
Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,600,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company.
Join us as we bring healthy and sustainable living to millions of Americans in the years to come.
THE ROLE
At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we’re looking for a Senior Data Analyst (Lifecycle Marketing) to play a critical role in turning data into strategic insight - guiding decisions for the Lifecycle Marketing team.
This role goes beyond building dashboards or pulling reports. Reporting into the Data Engineering Manager, you'll help translate complex data into clear, actionable insights that shape business outcomes. Whether it's analyzing member behavior, identifying pricing opportunities, or supporting cross-functional initiatives, you'll bring rigor, curiosity, and clarity to every conversation.
You’ll be a trusted analytics partner to leaders across Thrive Market, connecting data to real-world outcomes, and helping teams make smarter, faster decisions every day.\n

Responsibilities

Lead high-impact, end-to-end analytics projects that inform key business and product strategies.
Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks.
Deliver clear, data-driven insights that influence decision-making across the organization.
Design and maintain dashboards, models, and datasets that empower business teams to self-serve and track performance.
Identify data quality issues and help resolve inconsistencies across source systems.
Leverage external and internal data to uncover category and pricing opportunities.
Support lifecycle and engagement analytics to inform retention, LTV, and user journey improvements.
Collaborate with Finance to measure and forecast the financial impact of product and business decisions.
Respond to ad hoc analytical requests with accuracy, efficiency, and business context.
Bring thought leadership to Thrive Market’s data practices — recommending new ways to enhance our analytical toolkit and processes.

Support the Retention Marketing Team:

Partner with the Retention Marketing team to evaluate customer journey touchpoints, measuring the effectiveness of email, SMS, and app engagement campaigns.
Build dashboards and models to monitor lifecycle KPIs (churn, reactivation, engagement rates), identifying opportunities to improve retention and loyalty.
Deliver insights that inform personalization strategies and CRM segmentation, enabling more relevant, data-driven communications that enhance customer lifetime value.

Qualifications

7+ years of experience in data analytics, with a strong track record of business impact.
MBA with a focus in analytics, strategy, or a related quantitative field.
Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C++).
Experience with large-scale data tools such as Hive, Spark, or similar.
Hands-on experience with Snowflake or other modern cloud data warehouses.
Strong foundation in statistics and multivariate regression.
Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.).
Ability to clearly communicate insights to non-technical audiences and influence decision-making.
Experience in eCommerce or subscription businesses is a strong plus.
Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis.
Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset.

Belong To A Better Company

Comprehensive health benefits (medical, dental, vision, life and disability)
Competitive salary (DOE) + equity
401k plan
9 Observed Holidays
Flexible Paid Time Off
Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
Ability to work in our beautiful office in Playa Vista
Free Thrive Market membership with exclusive employee discount
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer

If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you.

www.thrivemarket.com

Job Information

Compensation Description - The base salary range for this position is $130,000 - $170,000/Per Year.
Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.
Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

","hiringOrganization":{"@type":"Organization","name":"Thrive Market","sameAs":"https://thrivemarket.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles or Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Senior Data Analyst Engineer","datePosted":"2025-09-16","description":"Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
About this role:
What can you tell your friends when they ask you what you do?
As a Senior Data Analyst Engineer I help app professionals to have the most comprehensive and high quality App market data, this is the key role of App ecosystem in various business practices. \n

How Will You Be Doing This?

As part of our agile and growing organization, you will challenge norms and find better ways to partner with our product organization and various stakeholders to ensure we are meeting the needs of our business requirement while properly setting expectations.

Data quality assurance and related process implementation and improvement.
Can quickly understand how the dataset is structured and what is the relationship inside it.
Working on the front line for problem analysis and ad-hoc requests from external teams, provide strong support to product managers.
Communicate well and clearly with teams overseas in both oral and written English.
Becoming better at what you do every day.

What Will You Bring To The Team?

You should be a strong Data Analyst Engineer in the data operation domain.
Proficient in SQL.
Experience with Linux and Shell Script programming - Python programming skills is a big plus.
Experience in statistics and data mining, Big Data or BI solutions is a big plus.
Willing to analyze problems hidden by huge amounts of data and good at summarizing problem reports, Tableau experience is a big plus.
Strong presentation skills. Feel comfortable to explain data pattern findings from data/problem to other stakeholders, e.g. product managers, senior management, etc.
Good communication skills and feel comfortable to work in an English working environment.
Self motivated and strong ownership. Be sensitive about any potential issues inside the production data set.
Strong willingness to drive complex issues moving forward, coordinating with all stakeholders globally.
Energy and creativity are key characteristics that describe you and the projects you lead. You make it happen. Boom!
You’re an app devotee, positively curious and a technology enthusiast.

About Sensor Tower
Sensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Our benefits for full-time positions include:- Flexible time off so employees can shape their time away from work.- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.- Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.

","hiringOrganization":{"@type":"Organization","name":"Sensor Tower","sameAs":"https://sensortower.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Data Analyst, Merchandising","datePosted":"2025-09-16","description":"ABOUT THRIVE MARKET
Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,600,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company.
Join us as we bring healthy and sustainable living to millions of Americans in the years to come.
THE ROLE
At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we’re looking for a Senior Data Analyst (Merchandising) to play a critical role in turning data into strategic insight - guiding decisions for the merchandising team.
This role goes beyond building dashboards or pulling reports. Reporting into the Data Engineering Manager, you'll help translate complex data into clear, actionable insights that shape business outcomes. Whether it's analyzing member behavior, identifying pricing opportunities, or supporting cross-functional initiatives, you'll bring rigor, curiosity, and clarity to every conversation.
You’ll be a trusted analytics partner to leaders across Thrive Market, connecting data to real-world outcomes, and helping teams make smarter, faster decisions every day.\n

Responsibilities

Lead high-impact, end-to-end analytics projects that inform key business and product strategies.
Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks.
Deliver clear, data-driven insights that influence decision-making across the organization.
Design and maintain dashboards, models, and datasets that empower business teams to self-serve and track performance.
Identify data quality issues and help resolve inconsistencies across source systems.
Leverage external and internal data to uncover category and pricing opportunities.
Support lifecycle and engagement analytics to inform retention, LTV, and user journey improvements.
Collaborate with Finance to measure and forecast the financial impact of product and business decisions.
Respond to ad hoc analytical requests with accuracy, efficiency, and business context.
Bring thought leadership to Thrive Market’s data practices — recommending new ways to enhance our analytical toolkit and processes.

Support the Merchandising Organization:

Serve as the primary partner to the Merchandising team to hypothesize, develop and deliver insights into product performance, assortment effectiveness, and pricing/promotional impact.
Build and maintain reporting frameworks that track and visualize key insights to monitor category-level KPIs such as sales, margin, sell-through, and inventory turns. Responsible for all team trainings and support.
Design and maintain dashboards that empower Merchandising leaders and teams to self-serve and track the performance of their business.
Execute deep-dive analysis to ensure Merchandising strategies are both competitive, high performance and profitable.
Thought leader and partner in identifying data gap opportunities to allow the Merchandising team to manage their business more effectively and efficiently.

Qualifications

MBA with a focus in analytics, strategy, or a related quantitative field.
7+ years of experience in data analytics, with a strong track record of business impact.
Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C++).
Experience with large-scale data tools such as Hive, Spark, or similar.
Hands-on experience with Snowflake or other modern cloud data warehouses.
Strong foundation in statistics and multivariate regression.
Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.). Ability to clearly communicate insights to non-technical audiences and influence decision-making.
Experience in eCommerce or subscription businesses is a strong plus.
Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis.
Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset.

Belong To A Better Company

Comprehensive health benefits (medical, dental, vision, life and disability)
Competitive salary (DOE) + equity
401k plan
9 Observed Holidays
Flexible Paid Time Off
Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
Ability to work in our beautiful office in Playa Vista
Free Thrive Market membership with exclusive employee discount
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer

If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you.

www.thrivemarket.com

Job Information

Compensation Description - The base salary range for this position is $130,000 - $170,000/Per Year.
Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.
Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

Do you want to join a growing team of top professionals who invest time and effort into teaching, career growth, and cultivating employees into the next generation of IT experts? You've come to the right place. Span is a Croatian IT company with a global reach specializing in high-quality information systems design and management services, as well as tech support for customers and enterprises. We're constantly improving, advancing, and adopting new trends, new skills, and new expertise, giving our employees virtually endless opportunities for professional development.

We are seeking a skilled and motivated Data Analyst to join our team. The ideal candidate will have a strong analytical background, experience with data analysis tools, and the ability to translate complex data into actionable business insights. This role requires a proactive individual with excellent problem-solving skills and a keen eye for detail.

What You'Ll Do:

Collect, process, and analyze large datasets to identify trends, patterns, and insights.
Develop and maintain dashboards and reports to support business decision-making.
Collaborate with cross-functional teams to understand business requirements and translate them into data analysis projects.
Identify opportunities for process improvements and recommend data-driven solutions.
Assist in the development and implementation of data collection systems and strategies.
Performing data analytics strategies to assess the quality of the data and extract meaningful insights
Performing ad-hoc analysis to help business make data-driven decisions

We could be a perfect fit if you are:

Approaching activities in a planned and organized manner, focused on essentials and working quickly and efficiently
Showing a strong desire for constant career development and gaining experience
Inclined to innovate, always trying out different approaches and looking for new, better and more efficient ways of working
Appreciating and accepting differences, respecting other people and their opinions and ideas and readily giving them yourself

What We Expect:

BS in Computer Science, Mathematics or similar degree
3+ years of work experience as Data Analyst/Business Analyst
Experience with SQL/databases
Knowledge of visual design and BI tools (preferably Power BI)
Demonstrated experience in handling large data sets and relational databases
Strong analytical skills with the ability to collect, organize and analyze significant amounts of information with attention to detail and accuracy
Good spoken and written English skills
Attention to detail and a strong commitment to quality.
Ability to work effectively with remote teammates and users

Skills that will bring you extra points:

Experience with Power Query, DAX
Experience with Azure Data Studio and SSMS
Experience with Azure Data Factory and SSIS
Familiarity with other Azure technologies (Azure Synapse, Azure Data lake, Azure Databricks)
Familiarity with ERP and CRM systems.
Experience with machine learning and predictive modeling

What'S In It For You:

Competitive salary according to your experience
A business phone of your choice
InHouse testing center- we are giving you an option of gaining professional certificates
Mentor - no matter how much experience you've got, we will provide you with an adequate mentor
Regular feedback on your performance and personalized career development plan
Possibility to earn different types of bonuses
Subvention of Multisport card or PassSport - not only brain workout is important
Minimum of 25 vacation days
Complete health checks - adjusted for men and women
Psychological counseling - we care about your well-being
Lunch and transportation compensations
Benefits for children of employees

When you’re ready, click the Apply button below – even if you don’t check every single box. We are looking forward to meeting you! 😊

","hiringOrganization":{"@type":"Organization","name":"Span","sameAs":"https://www.span.eu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zagreb, Croatia (Hybrid)","addressCountry":"Croatia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-16","description":"

About Clair

If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?

At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day.

Learn more about us at getclair.com/about

About The Role

We’re looking for a top-tier analytics professional based in NYC to deliver insights that drive growth. As a Senior Data Analyst at Clair, you’ll join a growing team of data practitioners who are passionate about bringing financial security to underserved communities by giving workers access to their earnings right when they need them. As a trusted thought partner to product and business teams, you’ll surface impactful insights supporting their goals. Through experimentation, analysis, modeling, and dashboard development, you’ll surface recommendations to enable Clair to reach millions of hourly workers and help them get paid on demand.

The ideal candidate will consider themselves a “full stack” data analyst with experience across the entire data pipeline, including data ingestion, processing, modeling, and visualization. This person will be comfortable with the analytics engineering workflow, mixing technical proficiency with the ability to engage stakeholders across the organization.

Key Responsibilities

Leverage data to drive user growth, identify trends, and influence product and business decisions
Partner with business stakeholders across the organization to answer questions and test hypotheses
Define and manage key metrics that inform strategic product, growth, and operational decisions, ensuring alignment with business goals
Put data at the fingertips of stakeholders and enable them to independently explore and utilize data
Build efficient data ingestion and transformation pipelines
Develop intuitive dashboards, memos, slides, and other visualizations that tell stories and inspire action
Collaborate to brainstorm ideas, verify analyses, and review the work of your peers to ensure accuracy and quality

Qualifications

4–5+ years of hands-on experience in data analytics, ideally in a high-growth start-up, regulated environment
Strong proficiency with BI tools like Tableau, PowerBI, Lightdash, Metabase, etc.
Experience with a scripting language like Python or R
Fluent in SQL (translating business questions to queries, understanding joins and functions, and building data pipelines)
Solid foundation in experimental design and statistical analysis to support decision-making and measure business impact
Comfortable owning projects end-to-end and collaborating cross-functionally with stakeholders (e.g., product, finance, ops)

Things We Consider a Plus

Interest in financial systems and consumer behavior
Experience with machine learning or statistical modeling

Additional Details

Location: This is a hybrid position based out of New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings.

Compensation: The annual base salary for this role is $150,000-$157,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.

Need More Convincing?

Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair:

Medical, Dental, & Vision Coverage, with option to extend to your family
Fully-paid parental leave
Company-sponsored 401k, HSA, and FSA
Unlimited vacation for salaried roles, generous PTO for hourly roles
Work from home setup allowance
Access to your earnings every day on Clair
Company-sponsored short-term and long-term disability insurance

Equal Opportunity Employer Information

Clair is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

\n\nFor questions, please email us at careers@getclair.com","hiringOrganization":{"@type":"Organization","name":"Clair","sameAs":"https://getclair.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-16","description":"

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a collaborative, customer-committed, and creative Senior Data Analyst who wants to join us in making roads safer by making drivers better!

Responsibilities:

Perform advanced business analysis using various techniques, including statistical analysis, and predictive modeling
Develop actionable insights with recommendations for the current business operations or issues
Partner with Product Owners, Sales, Marketing, Customer Success, and other stakeholders to develop models, reporting, dashboards and presentations for internal and external clients
Work with CMT data scientists to develop algorithms and models for dashboards and analysis
Implement data strategies, develop implementation plan, and manage to plan with internal stakeholders to ensure compliance with deliverable reporting requirements
Handle special analytical projects as needed
Lead cross-functional internal and external meetings to present analysis, insights and to propose recommendations
May oversee the work of less experienced analysts
Participate in A/B and other statistical testing design, setting up control groups, and relaying outcomes of testing
Update and add new data in data lake including setting up data dictionaries, definitions, document reporting and their dependencies, and to relay internal department data and reporting requirements
Ensure data integrity by monitoring and performing data lake quality audits and analysis, and by identifying and defining new processes and procedures to mitigate data discrepancies
Develop data testing and monitoring algorithms that efficiently identify incongruences and changes in data and reporting
Complete any additional tasks as they arise

Qualifications:

Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Statistics, Mathematics or Engineering
4+ years of relevant working experience in Data Analytics
Experience with data visualization tools, such as Tableau, Infogram, Plotly and/or Visual.ly required
Strong SQL coding skills with ability to update and retrieve data, highlight data changes and identify data incongruencies
Experience coding in Python
Experience working with internal and external stakeholders
Strong communications skills with the ability to raise questions, define needs and relay outcomes
Ability to develop and present findings to small groups
Experience using MS Office including Excel, PowerPoint

Nice To Haves:

Master’s preferred
Knowledge of software systems, AWS, and software engineering process is strongly preferred

Compensation And Benefits:

Fair and competitive salary based on skills and experience, and annual performance bonus • Equity may be awarded in the form of Restricted Stock Units (RSUs)
Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
Unlimited Paid Time Off including vacation, sick days & public holidays
Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

Feel great working to improve road safety around the world!
Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
Extensive wellness, education and employee assistance programs
CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment To Diversity And Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. “To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

","hiringOrganization":{"@type":"Organization","name":"Cambridge Mobile Telematics","sameAs":"https://www.cmtelematics.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-16","description":"Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
PORTOOur office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
TECHNOLOGYWe're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
THE ROLE (parental leave cover)Reporting to the Analytics Manager, you’ll leverage data, AI, and experimentation to shape product and platform decisions. You will design and run analyses to guide priorities, inform the development of AI-driven features, optimise user experiences across our platform, and measure the impact of initiatives on Product and Engineering. Your responsibilities will include building and maintaining scalable reporting and dashboards, running A/B and multivariate tests, performing advanced ad-hoc analyses, and defining data instrumentation and tagging requirements to ensure robust data capture for new features and services. You will also conduct inference analyses to uncover causal relationships and actionable insights, helping to shape the strategic direction of products and data initiatives.\n

What You'Ll Do

Drive strategic insights through advanced data analysis (causal inference, forecasting, cost-benefit, impact analysis) to inform product, pricing, and growth decisions.
Apply predictive and prescriptive analytics (ML/AI models for demand forecasting, churn, recommendations) to translate data into business strategy.
Analyze customer journeys and e-commerce economics, optimizing funnel performance, promotions, and margin trade-offs to maximize profitability and growth.
Design, recommend, and evaluate experiments (A/B and multivariate tests) with statistical rigor to guide product and platform development.
Develop scalable reporting and dashboards in SQL and Looker, automating insights that reflect business processes and data flows.
Collaborate cross-functionally on end-to-end analyses — from data gathering to delivering actionable insights, solutions, and presentations.
Ensure data accuracy and integrity, maintaining high standards across reporting and analytical deliverables.
Provide mentorship and thought leadership, setting best practices in analytics, experimentation, and stakeholder communication.
Tell the story behind the data, synthesizing insights into clear, actionable narratives that influence roadmaps and leadership decisions.

Who You Are

5+ years of experience in data analytics, with a strong e-commerce orientation (mandatory).
Skilled in SQL, Excel, and BI tools (e.g., Looker, Tableau) to transform data into actionable insights.
Strong foundation in statistics, experimentation, and program evaluation, with experience applying data to solve real-world business problems.
An excellent communicator and strategic thinker, able to translate complex analysis into clear, actionable recommendations for stakeholders.
Fluent in English, both written and spoken.
Degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Economics) preferred.

Rewards & Benefits

Health insurance for the whole family, flexible working environment and well-being support and tools
Extra days off, sabbatical program and days for you to give back for the community
Training opportunities and free access to Udemy
Flexible benefits program

Equal Opportunities Statement

Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

Scam Disclaimer

It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.

","hiringOrganization":{"@type":"Organization","name":"Farfetch","sameAs":"https://www.farfetch.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Porto","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Data Analyst II","datePosted":"2025-09-16","description":"

Summary

As a Senior Analytics Engineer I at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.

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

Responsibilities

Design, implement, and maintain highly performant data post-processing pipelines
Create shared data assets that will act as the company’s source-of-truth for critical business metrics
Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
Partner with data engineering to expose governed datasets to the rest of the organization
Make impactful contributions to our analytics infrastructure, systems, and tools
Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
Maintain consistent planning and tracking of work in JIRA tickets

Skills & Attributes

Bachelor’s degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline
3-5 years of relevant experience
Strong Proficiency in SQL and experience working with relational databases
Solid understanding of data modeling and ETL processes
Proficiency in Python for automation, data manipulation, and analysis
Experience managing ETL and data pipeline orchestration with dbt and Airflow
Comfortable with command line functions
Familiarity with Hive, Trino (Presto), SparkSQL, Google BigQuery
Experience with cloud data storage like AWS S3, GCS
Experience with managing codebases with git
Consistently employs CI/CD best practices
Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
Experience combining data from disparate data sources to identify insights that were previously unknown
Previous project work requiring expertise in business metrics and datasets
Strong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams.
The ability to effectively collaborate cross-functionally to drive actionable and measurable results
Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
A passion for AI as an enhancing tool to improve workflows, increase productivity, and generate smarter outcomes.
A desire to constantly learn and improve themselves

MongoDB is an equal opportunities employer.

Req ID - 2263168402

","hiringOrganization":{"@type":"Organization","name":"MongoDB","sameAs":"https://www.mongodb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-16","description":"

Hej, Truecaller is calling you from Stockholm, Sweden! Ready to pick up?

Our goal is to make communication smarter, safer, and more efficient, while building trust across the world. With our roots in Sweden and a global reach, we deliver smart services that create meaningful social impact. We are committed to protecting you from fraud, harassment, scam calls, and unwanted messages, so you can focus on the conversations that matter.

Top 20 most downloaded apps globally, and the world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month.
Founded in 2009, listed on Nasdaq OMX Stockholm, and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins.
A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, and Tel Aviv, with high ambitions.

We in the Messaging team own everything under the messaging domain at Truecaller. We build, transform, and optimize existing and new features to make messaging more reliable and secure for our users. With over 450 million users, we operate one of the world's largest Instant Messaging (IM) services.

As a Senior Data Analyst in the Messaging team, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts. The messaging team sits at the very core of the Truecaller experience, so you’ll have plenty of opportunities to work with other teams and the executives.

The Impact You Will Create:

Understanding Truecaller's data, particularly related to the Messaging team.
Taking ownership of quantitative insights for the Messaging team, playing a crucial role in product development.
Defining experiments, overseeing their setup, and analyzing their results to drive decision-making.
Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting.
Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership.
Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making.

What You Bring In:

6+ years of experience in Data Analytics
Experience in using SQL to extract, transform and analyse data
Experience in data visualisation tools like Looker (preferred), QlikSense, Tableau, or Power BI
Experience in mentoring, coaching, and evangelizing about data in product development
Experience in digging into different data sources to understand why specific customer behaviours happen
Excellent communication skills in English

It would be great if you also have:

Big data query tools (we use BigQuery).
Experience with data from mobile applications.
Life at Truecaller - Behind the code:
https://www.instagram.com/lifeattruecaller/
Sounds like your dream job?

\n\n\n\n

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.

This position is based in Stockholm, Sweden.

We only accept applications in English.

What We Offer:

A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
Great tech tools: Pick the computer and phone you fancy most within our budget range.
Office life: We strongly believe in in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, and a wide range of yummy snacks and beverages. In addition, now and then, check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, Running team, movie nights in our cinema, or a Geek lunch. There’s something for everyone!

Come as you are:
Truecaller is diverse, equal, and inclusive. We need a variety of backgrounds, perspectives, beliefs, and experiences to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.

","hiringOrganization":{"@type":"Organization","name":"Truecaller","sameAs":"https://www.truecaller.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm, Sweden","addressCountry":"Sweden","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-16","description":"

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by maintaining, improving, and delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization.

Key Responsibilities

Lead the design, implementation, and upkeep of ETL / data pipelines (from source files through staging layers into the DWH), ensuring data correctness and efficiency.
Architect and evolve semantic models / reusable datasets: define dimensions, hierarchies, and KPI definitions that align with business needs.
Build, review, and optimize complex SQL-based transformations and views that feed into dashboards and reports.
Develop, optimize, and maintain all aspects of Power BI dashboards: DAX measures, visuals and UXUI design, Power Query (M), security through RLS, OLS, and access rights, report publication and refresh.
Lead and manage complete BI projects with Corporate teams from Business requirement to delivery thus including : requirements gathering, scoping, estimating work and timeline, designing specs, developing, validating with business stakeholders, deploying, and monitoring in production.
Identify performance bottlenecks (in SQL queries or the data model) and optimize query speed, resource usage, and refresh times to improve user experience.
Maintain and initiate documentation of data schema, data lineage, dashboards, and datasets; QA and perform tests / validation to ensure data integrity.
Mentor junior analysts; raise and enforce standards and best practices in SQL, data modelling, and BI development.

Qualifications

Bachelor's or Master’s in Computer Science, Data Analytics, Information Systems, Statistics, or a related field.
5-8+ years in analytics / BI roles with strong exposure to the Microsoft Power BI Suite.
Deep hands-on experience in SQL: complex joins, aggregations, window functions, subqueries, optimizations.
Solid experience with Power BI: semantic modelling, DAX, Power Query (M), report/dashboard design, RLS, publishing.
Understanding of data warehousing / ETL architecture (ODS / staging / fact & dimension layers).
Demonstrated ability to work on end-to-end projects: gathering requirements, specifying, implementing, testing, and monitoring dashboards.
Strong communication skills; ability to engage with both technical and non-technical international audiences.
Proven problem solving and performance tuning skills: recognizing bottlenecks, refactoring models or queries as needed.
Certifications :
Mandatory: PL-300 (Microsoft Certified: Data Analyst Associate)
Preferred: PL-200: Power Platform Functional Consultant or PL-600: Power Platform Solution

Nice To Have

Experience in cloud analytics environments (Azure preferred).
Familiarity with tools enhancing BI model maintenance (Tabular Editor, DAX Studio, ALM / version control for BI assets).

Additional Information

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

","hiringOrganization":{"@type":"Organization","name":"Sia","sameAs":"https://www.sia-partners.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Senior Data Analyst / Project Lead (f/m/x)","datePosted":"2025-09-16","description":"

Your role at ZEISS Digital: As a Senior Data Analyst / Project Lead, you’ll be a key contributor to our digital transformation journey and steer projects but also develop and support hands-on as a Data Analyst. You’ll work closely with cross-functional teams to identify and implement strategic, data-driven solutions that support for example sustainability, supply chain optimization, and procurement excellence. You’ll be part of a supportive, agile team that values open communication, shared success, and personal development. Help us shape the future of ZEISS!

Your Role

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs
Data Processing and Transformation: Process & transform data in the area of e.g. procurement, supply chain or sustainability
Visualize impact: Create dashboards and reports that make complex insights accessible and actionable
Project Leadership: Plan, execute, and oversee data projects or data products including requirements engineering
Technology Scouting & Continuous Improvement: Stay ahead of trends in data, AI, and analytics to continuously improve our tools and methods
Mentorship: Support junior analysts and foster a culture of learning and inclusion

Your Profile

Master's degree in a STEM subject, such as Data Science, Computer Science, Statistics, Mathematics, or a related field
Several years of experience in data analysis, ideally in a senior role
Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines
Strong communication skills in English and German, with the ability to explain complex topics clearly
Proficiency in SQL, Python, PySpark, Power BI and Databricks
A collaborative mindset, curiosity, and confidence to challenge the status quo
Experience in procurement, supply chain, or sustainability is a plus
Experience in working in a Cloud & CICD environment is a plus

Your Zeiss Recruiting Team:

Markus Repp","hiringOrganization":{"@type":"Organization","name":"ZEISS Group","sameAs":"https://www.zeiss.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"München, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Analyst - Client Facing","datePosted":"2025-09-15","description":"COMPANYEverly Health's mission is to transform lives with modern, diagnostics-driven care, and we believe that the future of healthcare is meeting people where they are. Headquartered in Austin, Texas, Everly Health is the parent company to Everlywell, Everly Health Solutions, Natalist, and Everly Diagnostics. We've set a new standard of people-focused, diagnostic-driven care that puts patients at the center of their own health journey.
Our infrastructure guides the full testing experience with the support of a national clinician network that's composed of hundreds of physicians, nurses, genetic counselors, PharmDs, and member care specialists. Our solutions make world-class virtual care more attainable with rigorous clinical protocols and best-in-class science to tackle some of the healthcare industry's biggest problems.
ROLE SUMMARYWe are hiring a Client- Facing Senior Data Analyst to help support our ability to anticipate client questions, deliver insights, and help tailor their specific programs to maximize their success within our suit. Additionally, the Senior Data Analyst will work both independently and with business stakeholders to analyze our data and turn it into useful reports for our partners - both in ways that span across partners and ways that are uniquely tailored to the needs of our top accounts. This information will be leveraged to make recommendations for initiatives set to improve our attainment of client goals, and grow the retention of and depth of integration into key clients.. This requires proficiency in business intelligence tools, very strong database skills (SQL), a technical understanding of data architecture and modeling, a strong business sense, and comfort interfacing with clients directly - understanding, speaking to, and delivering on their analytical needs.

Reporting directly to the Vice President of Enterprise Operations, you will work with other analytics team members, business stakeholders, and data engineers to understand what our data means, where it is lacking, and how it can be modeled to make it available for analysis and visualization. You’ll perform strategic business analyses for various departments and clients, and synthesize findings for business leaders. These analyses will provide the foundation for future business initiatives. The data that you model and analyze will be used across the company to monitor the health of the business and identify areas for improvement. You will need to be able translate data to insights that can inform business and help clients and the business achieve their goals.

You will be a key caretaker of our garden of knowledge. We are in high growth, startup mode and need someone who is willing to get their hands dirty. If you are passionate about turning data into information that can be used to make better and faster business decisions and are looking for an opportunity to learn, build, optimize, and grow in your career, Everlywell is the place for you.
\n

What You'Ll Do

Extract unstructured data from a variety of sources, manipulate data into a form suitable for analysis – and then explore data using statistical methods and a visualization tool like Looker
Perform strategic data analysis and research to support business and client needs; build models to guide prediction of outcomes and aid decision making
Provide recommendations to business stakeholders, clients and leaders.
Proactively bring new business opportunities unearthed through data mining to the attention of business leaders, sales leaders, and clients.
Partner with business stakeholders in framing and prioritizing business questions considering both short and long potential impact, interpreting findings, quantifying opportunities, and proposing actions with a data-centric point of view.
Shape, explore, and publish data for business analysis or stakeholder initiatives using core BI tools (Excel, Looker, GSuite, Snowflake, SQL Server).
Collaborate with business teams on ad-hoc analyses that uncover root cause of recent business trends - and set the stage for deeper insight going forward
Evaluate data models and physical databases for variances and discrepancies.
Validate business data for accuracy and completeness.
Analyze data-related system integration challenges and propose appropriate solutions.

Who You Are

6-8+ years of progressive experience in an analytics/reporting role at a healthcare technology company or health plan
A passion for details, knowledge, and understanding of how healthcare data works, and partnering with clients to meet their unique needs
Excellent systems thinking
A keen ability to multitask, prioritize, meet deadlines, and communicate expectations. When something’s not going well, you can autonomously figure out the root cause, and apply your learnings to quickly resolve the issue and underlying cause.
Ability to identify and solve for underlying operational challenges and opportunities rather than simply executing prescribed processes
Flexibility and ability to work in a fast-changing environment. You are comfortable navigating ambiguity and developing best practices as you go!
Must be results focused, able to work independently, and capable of managing multiple complex projects.
Outstanding oral and written communication skills and situational awareness, with the ability to synthesize and communicate complex concepts and programs with a wide variety of stakeholders including those with technical savvy and those without, and intermittently directly with large enterprise programs; can drive alignment and establish new best practices where it is lacking across functional/team boundaries

Skills & Abilities Required

Mastery of SQL and a solid understanding of data architecture (Snowflake and/or SQL Server)
Familiarity with data pipeline tools like Airflow, Fivetran, and Azure Data Factory
Journey person-level skill of a data visualization product like Tableau or Looker
Proficiency in web analytics applications, strong database skills, and technical understanding of website architecture preferred
Ability to identify and solve for underlying operational challenges and opportunities rather than simply executing prescribed processes
Excellent interpersonal skills with the proven ability to collaborate across functional areas to define, prioritize and implement analytics efforts

","hiringOrganization":{"@type":"Organization","name":"Everly Health, Inc.","sameAs":"https://www.everlyhealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Data Analyst","datePosted":"2025-09-15","description":"\n

At Beyond Finance, we've made it our mission to help everyday Americans escape the endless cycle of crippling debt and step into a brighter financial future. Through compassionate, individualized care, a culture focused on compliance and ethics, supportive user-centric technology, and customized financial solutions, we've helped over 700,000 clients on their path to a brighter future.

While we're proud of what we've already accomplished, we're searching for new collaborators to help us get to the next level! If you're looking to join a forward-thinking, rapidly growing organization with helping people as its number one goal, we want to hear from you.

Location: 222 N La Salle St, Suite 1600, Chicago, IL 60601

Job Description: Build visualizations to help business users understand behaviors of customer base and business by gaining insights through building dashboard or providing training to utilize the BI framework. Develop a deep understanding of existing data, including how the data is produced and used by the application. Examine data by writing SQL and examining the data for anomalies and patterns, and confirming popular opinion. Build the BI layer of abstraction in Looker, providing the meaning created for BI reporting along with a Looker data dictionary; ensure BI access is considered when providing access to data and reporting. Utilize knowledge of dimensional modeling techniques and ability to generate models which help business users easily understand the data. Document and map the existing data structures from the operational system to the new curated data structures and author the ETL scripts. Work with various business groups to understand business needs and create a plan to deliver the data using the existing system or requesting new data be produced. Partial remote work permitted as per company policy. Office location is in Chicago, IL. Standard company benefits offered.

Education Requirement: Master’s degree in Data Analytics, Computer Science, Accounting, or Finance

Experience Requirement: 1 year of experience in financial data analysis or financial accounting

Special Skills: Must have work experience with each of the following: 1) Building and transforming parameterized report models and advanced Looker dashboards using Excel, SQL, Python (Pandas, NumPy, Matplotlib) and Looker PDTs to monitor and report on key performance metrics in debt resolution industry; (2) Using SQL (including CTE's and Window Functions) to preprocess unstructured financial data, validating and analyzing data, managing data in target repositories, and utilizing Git to maintain version control; (3) Using Python to develop automation tools for monthly/weekly financial and capital market reporting processes; (4) Implementing and fine-tuning predictive financial models for debt resolution industry in Python using machine learning techniques including Multivariable Linear Regression, XGBoost, and Time Series Forecasting.

Salary: $97,000-$144,000

Apply: Send resume to bllcrecruiting@beyondfinance.com with “Senior Data Analyst” in subject line.

#Li-Dni

The base annual salary range is listed below. This role is eligible for additional incentives, including an annual bonus.

Base Salary Range$97,000—$144,000 USD

Why Join Us?

While you make a difference for others, we’ll work to make a difference for you, providing an uplifting, collaborative work environment and benefits that reflect your value to us. For eligible full-time employees, we offer:

Considerable employer contributions for health, dental, and vision programs
Generous PTO, paid holidays, and paid parental leave
401(k) matching program
Merit advancement opportunities
Career development & training

And finally, our team spirit and culture! We cultivate an environment of community, connection, and belonging across our entire organization.

Beyond Finance does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions. No fee will be paid to their parties who submit unsolicited candidates directly to Beyond Finance employees or the Beyond Finance HR team. No placement fee will be paid to any third party unless such a request has been made by the Beyond HR team.

","hiringOrganization":{"@type":"Organization","name":"Beyond Finance","sameAs":"https://www.beyondfinance.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Data Analyst- Department of Building Inspection (1823 PEX)","datePosted":"2025-09-15","description":"

Company Description

Appointment Type: Permanent Exempt (PEX)- This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer.

Specific information regarding this recruitment process listed below:

Application Opening: September 15, 2025.
Application Deadline: Applicants are encouraged to apply immediately as this recruitment may close at any time, but no earlier than September 29, 2025.
Annual Salary for this position: $121,836 - $148,070
Recruitment ID: PEX-1823-EXEMPT

What We Do:

The Department of Building Inspection (DBI) oversees the effective, efficient, fair and safe enforcement of City building, housing, plumbing, electrical, mechanical, and disability access codes for San Francisco’s more than 200,000 buildings. This position is located in the Director’s Office.

Job Description

Under the direction of the Data and Performance Manager, the Senior Data Analyst will plan, organize, lead, and conduct complex, sensitive, and detailed analytical work in support of departmental strategic planning efforts, policy development, decision-making, reporting, and communications. The Senior Data Analyst will also support department staff with process improvement efforts using quality improvement tools. A strong candidate would have experience performing analyses using mapping software such as ArcGIS; analytical programming languages such as R, Python, and SQL; and data visualization software such as Power BI. This position will work in a highly collaborative environment and assist with the department’s efforts to deliver permitting, inspection, and code enforcement functions efficiently, effectively, ethically, and equitably.

Important And Essential Duties:

Develops and implements processes, procedures, and systems to clean, manage, store, and present large volumes of complex data, including creating and maintaining automated scripts;
Conducts geospatial analysis and uses geospatial software to support the work of the department;
Creates and maintains business intelligence dashboards and generates ad hoc reports;
Collaborates with staff from DBI and other departments to inform data system designs that will support flexible and accurate business analytics and efficient, effective, ethical, and equitable business processes;
Supports continuous improvement activities, using tools like Lean Six Sigma;
Prepares clear, comprehensive reports and presentations;
Provides data analysis expertise to inform business improvement and policy development;
Responds to internal and external informational and data requests, including those of a highly sensitive nature;
Performs related duties as assigned.

Knowledge, Skills, And Abilities:

Knowledge of: the principles, procedures and standards related to the following: government and/or non-profit management and operations; policy analysis; statistical, geospatial and other analytical methods; relational table databases; applicable local, state, and federal laws and regulations affecting departmental operations; the development and implementation of complex systems and procedures; program evaluation frameworks; and process improvement in government.
Ability to: collect, synthesize, and analyze a wide variety of information; conduct difficult analytical studies involving complex administrative and financial systems and procedures; work with authority to identify and define problems, determine methodology, evaluate data, make recommendations with appropriate justification and develop/implement a plan of action; effectively prioritize and organize multiple assignments and projects; exercise sound judgment; coordinate work/projects with other programs and departments; establish and maintain effective working relationships with departmental representatives, senior management, representatives of other departments/agencies, officials, contractors and the general public; negotiate effectively; speak clearly and concisely to communicate work-related information in a manner that is understandable to the intended audience; listen and effectively elicit information; prepare clear, accurate, effective, well-organized and understandable written documents and management reports; use a computer to research, access, extract and process data and information; use Windows-based software programs, including Word, Excel and PowerPoint; use data management systems Oracle Developer/MS SQL Developer; use analytical coding languages such as Python, R, and SQL; use geospatial analysis software such as ArcGIS; use data visualization software such as PowerBI; create and maintain records; prepare correspondence, reports and other documentation, including statistical data.

Qualifications

Minimum Qualifications:

Possession of a baccalaureate degree from an accredited college or university and three(3) years full-time equivalent experience performing professional-level analytical work. Qualifying professional-level analytical work includes analysis, development, administration, and reporting in major programs and functions of an organization in the areas of budgets, contracts, grants, policy, or other functional areas related to the duties of positions in the 182X Class series.

Substitution:

Possession of a graduate degree (Master's degree or higher) from an accredited college or university with major coursework in specialized subject matter areas such as public or business administration, management, business law, contract law, public policy, urban studies, economics, statistical analysis, finance, accounting or other fields of study closely related to the essential functions of positions in the Class series may be substituted for one (1) year of required experience.

Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of 2 years). Thirty (30) semester units or forty-five (45) quarter units equal one year.

Verification of Education and Experience:
\nApplicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. More information can be found at: https://sfdhr.org/information-about-hiring-process#verification

All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications.

Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.

Additional Information

Additional Information Regarding Employment with the City and County of San Francisco:

How To Apply

All job applications for the City and County of San Francisco must be submitted through our online portal. Please visit https://careers.sf.gov/ to begin your application process. No other methods of application will be accepted.

Computers are available for the public (9:00 a.m. to 4:00 p.m. Monday through Friday) to file online applications in the lobby of the Dept. of Human Resources at 1 South Van Ness Avenue, 4th Floor and at the City Career Center at City Hall, 1 Dr. Carlton B. Goodlett Place, Room 110.

Ensure your application information is accurate, as changes may not be possible after submission. Your first and last name must match your legal ID for verification, and preferred names can be included in parentheses. Use your personal email address, not a shared or work email, to avoid unfixable issues.

Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).

Upon successful submission, applicants will receive a confirmation email from notification@careers.sf.gov. Keep this email for your records. If you do not receive it, your application was not submitted successfully.

Recruitment Analyst Information: If you have any questions regarding this recruitment or application process, please contact the analyst Jason Hammack, via email at Jason.Hammack@sfgov.org

The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

","hiringOrganization":{"@type":"Organization","name":"City and County of San Francisco","sameAs":"https://www.sf.gov/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

About The Team & Opportunity

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

What Do We Need From You?

What’S In It For You?

Essential Job Duties:

Job Requirements:

Covid-19 Vaccination Policy

Beware Of Scams

Job Summary

Duties And Responsibilities

Minimum Qualifications

Working Conditions

Physical Requirements

Direct Reports

None

At Compass You Will:

What We Look For:

Compensation:

At Compass You Will:

What We Look For:

Compensation:

At Compass You Will:

What We Look For:

Compensation:

Responsibilities

Skills & Attributes

Company Description

Job Description

About This Role:

Qualifications

A Bit About You:

Additional Information

Our Offer

Who We Are

What You Will Be Doing: Key Responsibilities

Qualifications: Education & Experience Required

Ideally You Have:

What We Are Looking For

Why You Should Join Us

Our Recruitment Process

Who We Are

What You Will Be Doing: Key Responsibilities

Qualifications: Education & Experience Required

Ideally You Have:

What We Are Looking For

Why You Should Join Us

Our Recruitment Process

Your Profilerequired:

Preferred:

Our Values

Company Description

Job Description

Key Responsibilities:

Qualifications

Additional Information

We Offer You:

Why Appodeal?

Requirements:

Nice To Have:

What You'Ll Be Doing:

What You'Ll Need:

Company Description

Job Description

Here'S What You'Ll Be Doing:

Qualifications

Additional Information

How You’Ll Succeed

Who You Are

#Li-Ta

What Cibc Offers

Job Location

Employment Type

Weekly Hours

Skills

Job Title

Job Description

So, Who Are We?

Your Team

Your Role In The Team'S Success

What You'Ll Do

Set your job search on autopilot

Senior Data Analyst Jobs

Senior Data Analyst, Product

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst II

Senior Data Analyst - AML Risk Intelligence

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst - KYC and Client Onboarding

Senior Data Analyst/Data Architect - VP

Senior Data Analyst - Faculty Analytics

Senior Data Analyst - Words with Friends

Senior Data Analyst (f/m/x)

Senior Data Analyst (f/m/x)

Senior Data Analyst

Senior Data Analyst - Finance & Treasury

Senior Data Analyst

Senior Data Analyst / Engineer

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst, CSR & Sustainability

[8AL] Senior Data Analyst

Senior Data Analyst - HR Analytics

Senior Data Analyst I - Supply Chain Analytics

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst, Member Experience

Senior Data Analyst, Lifecycle Marketing

Senior Data Analyst Engineer

Senior Data Analyst, Merchandising

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst II

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst / Project Lead (f/m/x)

Senior Data Analyst - Client Facing

Senior Data Analyst

Senior Data Analyst- Department of Building Inspection (1823 PEX)