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At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

We are seeking a skilled data engineer to join our team. As an Advanced Analytics Analyst, you will be responsible for designing, developing, and optimizing data pipelines into our Snowflake HR data warehouse, ensuring efficient, secure data movement and accessibility for analytical purposes.

Responsibilities may include the following and other duties may be assigned:

Design, develop, and maintain scalable data pipelines for processing large datasets
Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage.
Utilize strong programming skills in Python to write clean, maintainable, and optimized code for data processing tasks
Possess a deep understanding of SQL to manage and query data effectively at scale
Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification.
Manages all aspects of end-to-end data processing utilizing customized report building functions of systems.
Maintains analytical systems, verifies the accuracy of the data, and acts as a liaison to the business.

Required Knowledge and Experience:

Bachelor’s degree in Computer Science, Information Technology, or a related technical field
7+ years of experience in data engineering with a proven track record of creating and implementing data pipelines
Proficiency in Python
Expertise with SQL scripting
Experience with Git for version control and deliverables management

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here

","hiringOrganization":{"@type":"Organization","name":"Medtronic","sameAs":"https://www.medtronic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-TS Hyderabad Nanakramguda, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Advanced Analytics Analyst","datePosted":"2025-08-05","description":"

A Day in the Life

Responsibilities may include the following and other duties may be assigned:

Design, develop, and maintain scalable data pipelines for processing large datasets
Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage.
Utilize strong programming skills in Python to write clean, maintainable, and optimized code for data processing tasks
Possess a deep understanding of SQL to manage and query data effectively at scale
Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification.
Manages all aspects of end-to-end data processing utilizing customized report building functions of systems.
Maintains analytical systems, verifies the accuracy of the data, and acts as a liaison to the business.

Required Knowledge and Experience:

Bachelor’s degree in Computer Science, Information Technology, or a related technical field
7+ years of experience in data engineering with a proven track record of creating and implementing data pipelines
Proficiency in Python
Expertise with SQL scripting
Experience with Git for version control and deliverables management

Benefits & Compensation

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

","hiringOrganization":{"@type":"Organization","name":"Medtronic","sameAs":"https://www.medtronic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-TS Hyderabad Nanakramguda, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Analyst, Advanced Analytics","datePosted":"2025-08-11","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

CIBC US Analytics and Infrastructure department is responsible for supporting risk stripes and Lines of Business (LoB) through data management, modelling, analytics, process automation and reporting, to grow and accomplish overall bank strategy.

What You’ll Be Doing

The Analyst, Advanced Analytics, will play a pivotal role in leveraging data, advanced analytics and AI to drive strategic efficiency and optimize processes within business lines. This position requires a strong foundation in data analysis and coding, coupled with a deep understanding of advanced analytics and AI methodologies. The Senior Analyst will contribute to the development and implementation of advanced analytical solutions, providing data insights to enhance business performance and support data-driven initiatives.

We are looking for candidates with:
- Experience of Python, SQL, Microsoft Power Platform (BI/Automate/Apps) and AI/ML Platform (e.g. Azure Databricks);
- Advanced Degree in Mathematics or other quantitative discipline.

It is a Plus if you are experienced with:
- LLM APIs, AI Agent Frameworks, RAG, Fine tuning
- Web apps development, familiar with JavaScript, HTML, Flask or FastAPI

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 3 days per week on-site, while other days will be remote.

How You’ll Succeed

Client engagement – Meet with clients to understand their priorities, advise them on solutions, and provide a forward-looking financial plan. Use your knowledge of cash management, credit, investment, and wealth protection to help clients meet their goals.
Leveraging technology - Become a technology expert. Share your knowledge by introducing clients to our mobile banking applications, enabling them to better manage their banking needs.
Strategic Minded – You’ll build and execute on communication strategies in support of key business initiatives that impact TI&I team members, partners and CIBC clients. You will work closely with the SEVP and Group Head, TI&I and her senior leadership team to develop and execute communication strategies and plans that foster a solid understanding of TI&I’s purpose-driven mandate to run, protect and transform the bank.

Who You Are

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're driven to succeed. You’re motivated by accomplishing your goals and delivering your best to make an impact.
Your influence makes an impact. You know that relationships and networks are essential to success. You lean in on executive guidance, and you inspire outcomes by making yourself heard.
You are a strong communicator. Expert interpersonal, communication (oral and written) and problem-solving skills, including effective engagement with all levels of the organization, including senior management, board of directors and regulators. Proven leadership and management experience, with a track record of successfully leading Compliance teams.

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 $69,000- $85,000for the 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 may also 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

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-120 S LaSalle St

Employment Type

Regular

Weekly Hours

Skills

Analytical Thinking, Deliverables Management, Post Analysis","hiringOrganization":{"@type":"Organization","name":"CIBC","sameAs":"https://www.cibc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IL-120 S LaSalle St, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Advanced Analytics Analyst","datePosted":"2025-08-15","description":"

Senior Analyst - Digital Insights & Analytics

See yourself in the team

The Business Bank Advanced Analytics & Data (AAD) team make data matter by turning our data into actionable insights, creating self-service methods that enable teams to make data driven decisions and use analytics to improve the customer engagement experience across the Business Bank.

Do work that matters

The AAD Digital Analytics & Insights team are experts across digital journeys and we draw on this expertise to experiment and help launch the next generation of online banking and mobile app experiences for our business customers.

In the role, you will work directly with Business Bank product owners and customer strategy to provide insights and reporting that will shape the strategic direction of Agentic AI solutions for our Business customers. Your insights & recommendations will directly contribute to the implementation of new AI assistants across customer facing channels including Digital. Specifically, you will:

Develop in-depth knowledge of the Business Bank and provide insights that influence improvements to the business customer experience across Digital
Create analytical deep dives and dashboards that provide a unified view of our Digital ecosystem in order to track customer experiences, sentiment and interactions with AI Assistants
Use curiosity to understand and share real customer experiences, with impactful story telling or unique visualisations that can contribute to the design of Digital journeys and experiences
Use data wrangling methods, apply advanced statistical concepts and build predictive models to deliver analysis on customer segmentation and profiling that can infer recommendations
Communicate effectively and persuasively (verbal and written) to project teams and leaders

We're interested in hearing from people who have

Passion for data: You are naturally curious and driven about how data can be used to identify new opportunities and make impactful business decisions.

Statistical foundation: You have a strong background in statistics and can leverage advanced concepts, experimentation and modelling to draw conclusions of significance
Communication: You are a confident and capable communicator. You welcome the opportunity to present your work to a wider audience, and are willing to put in the work required to explain it clearly and effectively

Ability to understand complex problems and take a structured approach using data driven insights to solve them
Commercial experience with analytical tools & programming languages (SQL, Teradata, Python, Spark, Hive etc.)
Knowledge of visualisation best practices for complex data relationships (Tableau, Power BI, R-Shiny)
You have an interest in using AI tools and techniques to drive outcomes
Minimum 2+ years in Data Analytics or similar experience (e,g. actuary, pricing or credit risk);

If this sounds like you apply today!

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 30/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW - CBP South, 11 Harbour Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Advanced Analytics Analyst","datePosted":"2025-08-19","description":"

Advance Analytics Analyst - Sydney or Melbourne

Do work that matters

The Commonwealth Bank Group (the Group) is one of Australia's leading organisations providing integrated financial services to more customers than any other Australian bank. Our customers are at the centre of everything we do and we are determined to be better than we ever have been. We have over 44,000 employees across our retail, business and institutional banking, funds management, superannuation, insurance, investment and broking businesses, as well as a range of interests around the world. As such, we offer a broad range of opportunities for our employees to continue to build on their skills and develop their careers in new and interesting directions.

Join our dynamic and diverse Digital Fraud team, where you'll use your analytical mindset to create innovative solutions and harness the power of GenAI to protect millions of Australians from scams and digital fraud.

See yourself in the team

Our Digital Fraud team is a dynamic and inclusive group of fraud experts working together to detect, prevent, and respond to digital fraud and scams. We use data-driven insights, cloud technologies, and cutting-edge AI tools to keep our customers and communities safe.

As a Data Analyst in this team, you’ll play a key role in identifying fraud patterns, building analytical solutions, and contributing to the development of innovative strategies to combat emerging threats.

What you’ll do

Use data analytics to uncover fraud trends and generate actionable insights.
Collaborate with cross-functional teams to design and implement fraud detection solutions.
Leverage cloud platforms like Snowflake and AWS to access and analyse large-scale datasets.
Apply and experiment with different GenAI tools to enhance our workflow automation, fraud detection and prevention capabilities
Communicate findings clearly to both technical and non-technical stakeholders.
Continuously learn and adapt to new technologies and fraud tactics.

We’re looking for someone who

Has 1–3 years of experience in data analytics or a related field
Can tell us about the coolest GenAI experiment you’ve run—or better yet, show us
Has experience in modelling using R or Python, using version control and collaboration platforms like GitHub CoPilot.
Is familiar with Snowflake, AWS Sagemaker, or H20.ai, applying appropriate Machine Learning algorithms, and working and maintaining datasets using SQL.
Has strong analytical thinking, problem-solving skills, and a growth mindset.
Is a great communicator and thrives in a collaborative, fast-paced environment.

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in our Sydney office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

If this sounds like you, apply now!

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Advanced Analytics – Senior Analyst

You are collaborative and enjoy solving analytical problems to help our team to reach highest potential
We are a team of big thinkers who are engineering the future of banking
Together we will build tomorrow’s bank today, using world-leading technology and innovation

Do work that matters:

Business Bank (BB) secures and enhances the financial wellbeing of people, businesses and communities, particularly CBA’s small and medium sized enterprise clients, including those in rural and regional areas, as well as the needs of CBA’s online trading, broking customers.

BB Customer, Controls & Governance sits within the wider Advanced Analytics & Data (AAD) team, part of Customer, Channels and Data (CCD) in BB.

BB Customer, Controls & Governance is the analytical function that supports Controls, Customer Risk, Remediation and Customer Lifecycle Management activities.

See yourself in our team:

As a Senior Analyst, you will be responsible for building out data driven projects, providing deep analytical insights and guiding strategic decision-making processes. Your primary focus will be to partner with Product, Technology and BB Chief Controls Office to ensure the accuracy, integrity and compliance of the BB data and processes.

Harnessing your passion for innovation and continuous improvement, you will be part of a team of talented analysts working to enhance our analytical capabilities and control frameworks, ultimately transforming the way the Business Bank optimises the customer experience through proactive risk management.

You will be passionate about fostering a collaborative cross-team culture that puts emphasis on development and growth.

We’re interested in hearing from people who:

Working collaboratively in cross-functional Scrum teams with Product, Analytics and BB Chief Control Office colleagues, you will be responsible for leveraging the Group’s data assets to deliver analytical control processes and procedures
Ensure the accuracy and integrity of BB data, identifying and mitigating risks
You will deliver to deadlines by managing multiple priorities in a fast-paced, agile environment
Monitor and report on the progress of control activities, providing regular updates to senior management
Ensure all control activities comply with internal policies, procedures and regulatory requirements
Using advanced business acumen, you will translate complex business requirements and objectives into technical briefings to implement effective analytical control strategies and solutions
Develop and implement best practices and process improvements to enhance the efficiency and effectiveness of the analytical control function
Stay up to date with industry trends and regulatory changes, ensuring compliance with relevant standards
Foster a positive team culture that encourages innovation, accountability and continuous improvement

Tech Skills:

The role requires a diverse set of skills including technical, people and critical thinking.

Key skills:

Risk Mindset – All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks;
Data & Analytics – Advanced analytical, numerate and logical reasoning skills, with extensive relevant experience in using complex data and analytics to drive business results;
Stakeholder Management – Demonstrated ability to translate complex concepts into simplified stakeholder key messages and present to senior leaders;
Commercial acumen – Ability to plan and manage multiple time critical projects with an understanding of business value, effective prioritisation and decision making;

Required experience:

Minimum 2+ years in Data Analytics or similar experience (e.g. actuary, pricing, or credit risk);
Must have proven experience working with SQL to extract data from complex datasets;
Extensive experience in using data driven analytics to develop dashboards, insights and recommendations;
Proven experience building and maintaining predictive models/machine learning algorithms
Ability to understand complex problems and take a structured approach using data-driven insights to solve;
Experience with analytical tools and platforms such as R / Python and/or GitHub is preferred;
Knowledge and experience in Banking (customers, products, systems, processes) is preferred;
Experience with Agile tools and methodologies is preferred;
Experience with using AI virtual assistants / prompt engineering
Degree in relevant discipline (Actuarial, Statistics, Maths, Economics, Engineering or Sciences).

Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with us is for you.

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. We’re looking for people who truly live our values: Care, Courage and Commitment and we’ll offer you great opportunities to develop your career with us.

Advertising End Date: 04/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW - CBP South, 11 Harbour Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Advanced Analytics Senior Analyst","datePosted":"2025-08-08","description":"

You are a curious and enthusiastic individual with a true passion for data.
We are a value-driven team of analytical techsperts, who leverage data to drive business insights, deliver innovative solutions and improve customer experiences
Together we can harness the power of analytics and technology to identify solutions for our customers and communities to help build a brighter future and really make a difference.

See yourself in our team

The Data Analytics Chapter Area for Group uses data and analytics to identify our customers’ needs and safely deliver insights, process improvement, customer contact journeys and innovative solutions to improve their financial wellbeing. We leverage data and innovative technology to deeply understand our customers and derive world-class insights to support commercial strategy and decision-making. We proactively uncover stakeholder needs and partner with channel, product, data and support teams to provide innovative, accurate and timely solutions to complex opportunities.

Do work that matters

Supporting the Financial Crime domain, you will relentlessly pursue the elimination of financial crime through data and analytics capabilities within the Customer Data Management squad. The CDM crew are the trusted custodians of quality customer data and support the group in delivering change across the core customer CRM and MDM capabilities.

The CDM crew support the elimination of financial crime risk for the group by uplifting systems in supporting CLM activities and support the customer master data management capability.

Key Responsibilities

Engage with stakeholders to provide ad-hoc support on customer data quality initiatives
Provide SME support on customer data management
Proactively identifying and resolving data quality issues in customer data.
Applying advanced techniques to generate actionable insights that improve the quality of data and flow of information in the groups systems.
Implement predictive modelling in the identification and treatment of data quality issues.
Develop and maintain strong relationships with key stakeholders across business, channels, risk and technology.

We’re interested in hearing from people who have:

Please note that we’re interested in hearing from people who might not meet all the following criteria. We’re open to working with the right candidate to fill any skill gaps during your journey at CommBank.

Customer-first Mindset: always starting with and anchoring back to the customer outcome
Risk Mindset: this role is for a Risk Champion, with a strong ability to proactively identify and understand, openly discuss and act on current and future risks
Mentorship & Leadership: Mentoring junior analysts, providing guidance and support in their analytical work.
Experience in using probabilistic techniques to identify gaps in data and processes
An interest in staying up to date with the latest trends and technologies in data analytics and machine learning and big data technologies.
Exposure in developing, validating and deploying predictive models and machine learning algorithms to forecast trends and identify opportunities.
Commercial experience with data exploration & analysis tools e.g. Python, SQL, Teradata, PowerBI, Tableau

If this role sounds like you – Apply now!

At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity.

If you're already part of the Commonwealth Bank Group (including Bankwest), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support, please contact HR Direct.

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

Advertising End Date: 09/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank of Australia","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 5-7 Central Ave, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Advanced Analytics Senior Analyst","datePosted":"2025-08-12","description":"

You are a curious and enthusiastic individual with a true passion for data.
We are a value-driven team of analytical techsperts, who leverage data to drive business insights, deliver innovative solutions and improve customer experiences
Together we can harness the power of analytics and technology to identify solutions for our customers and communities to help build a brighter future and really make a difference.

See yourself in our team

Do work that matters

The CDM crew support the elimination of financial crime risk for the group by uplifting systems in supporting CLM activities and support the customer master data management capability.

Key Responsibilities

Engage with stakeholders to provide ad-hoc support on customer data quality initiatives
Provide SME support on customer data management
Proactively identifying and resolving data quality issues in customer data.
Applying advanced techniques to generate actionable insights that improve the quality of data and flow of information in the groups systems.
Implement predictive modelling in the identification and treatment of data quality issues.
Develop and maintain strong relationships with key stakeholders across business, channels, risk and technology.

We’re interested in hearing from people who have:

Customer-first Mindset: always starting with and anchoring back to the customer outcome
Risk Mindset: this role is for a Risk Champion, with a strong ability to proactively identify and understand, openly discuss and act on current and future risks
Mentorship & Leadership: Mentoring junior analysts, providing guidance and support in their analytical work.
Experience in using probabilistic techniques to identify gaps in data and processes
An interest in staying up to date with the latest trends and technologies in data analytics and machine learning and big data technologies.
Exposure in developing, validating and deploying predictive models and machine learning algorithms to forecast trends and identify opportunities.
Commercial experience with data exploration & analysis tools e.g. Python, SQL, Teradata, PowerBI, Tableau

If this role sounds like you – Apply now!

Advertising End Date: 18/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 5-7 Central Ave, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Advanced Analytics Senior Analyst","datePosted":"2025-08-13","description":"

Advanced Analytics - Senior Analyst

You are a curious and enthusiastic individual with a passion for solving problems.

We are a collaborative team who are constantly finding new ways to use data to develop customer insights both for internal stakeholders and our customers.

Together we can harness the power of analytics and technology to identify solutions for our customers and communities to help build a brighter future and really make a difference.

See yourself in our team:

Business Bank (BB) supports the financial health of individuals, businesses, and communities, especially CBA’s small and medium enterprise clients, including those in rural areas, as well as online trading and broking customers.

The BB Advanced Analytics & Data (BB AAD) team uses data and analytics to identify our customers’ needs and safely deliver insight, contact journeys and innovative solutions to improve their financial wellbeing. We leverage data and innovative technology to deeply understand our customers and derive world-class insights to support commercial strategy and decision-making. We proactively uncover customer needs and partner with Segment, Marketing and Digital to deliver the best offer and outcome to our customers via the most optimal channel. We have an astute understanding of data and privacy risks and manage those with unwavering integrity.

Do work that matters:

As part of the AAD Customer Analytics & Engagement team, you will deliver competitive advantage by identifying events at every touch point in which a customer, prospect or intermediary interacts with CBA, and work with internal and external business partners to define and deliver engaging and relevant responses to those events by leveraging new and existing data.

You should be passionate about a customer’s digital experience and the opportunity to build trust and customer advocacy through data-driven insights. You will work with business, technology, Digital channel and Marketing stakeholders to deliver analytics, customer journeys and customer contact decisioning that will transform how the Business Bank engages with customers.

On a day-to-day basis, you will:

· Working collaboratively in cross-functional Scrum teams with Marketing, Product, Analytics and Business Segment colleagues, you will be responsible for leveraging the Group’s data assets to provide insights, design multi-channel

customer journeys and develop always-on campaigns that transform customer engagement by delivering tailored customer communications – the right message to the right customer, at the right time, via the right channel.

· You will deliver quality analytics in a fast-paced, agile environment where you will build customer journeys in the form of Next Best Conversation customer decisioning & other digital channels.

· You will collaborate on analytical projects that help drive the strategic objectives of the business and develop and maintain ongoing capabilities, such as self-service dashboards, to help monitor and manage our products

· You will synthesise qualitative and quantitative data and facts from various sources to identify relationships and patterns. Arriving at logical conclusions, you will identify opportunities for improved customer outcomes and design and develop analytical solutions for our stakeholders.

· Critically, you will be at the heart of pioneering a new way of how the Business Bank interacts with customers by identifying innovative and unique ways to leverage CBA’s data and deliver new competitive value propositions for our customers.

We’re interested in hearing from people who have:

· Previous experience in data analytics or modeling (e.g. actuary, pricing, or credit risk)

· Ability to understand complex problems and take a structured approach using data driven insights to solve them

· Comfortable with coding, experience in Python or R preferred

· Extensive experience in using data driven analytics to develop insights and recommendations.

· Attention to detail and willingness to pick up new concepts or skills

· Sound communication and stakeholder management skills

· Degree in relevant discipline (qualification in Actuarial studies, Economics, Finance, Statistics, Maths, or Sciences preferred)

If this sounds like you then apply today!

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Advanced Analytics - Senior Analyst

You are a curious and enthusiastic individual with a passion for solving problems.

See yourself in our team:

Do work that matters:

On a day-to-day basis, you will:

· You will deliver quality analytics in a fast-paced, agile environment where you will build customer journeys in the form of Next Best Conversation customer decisioning & other digital channels.

We’re interested in hearing from people who have:

· Previous experience in data analytics or modeling (e.g. actuary, pricing, or credit risk)

· Ability to understand complex problems and take a structured approach using data driven insights to solve them

· Comfortable with coding, experience in Python or R preferred

· Extensive experience in using data driven analytics to develop insights and recommendations.

· Attention to detail and willingness to pick up new concepts or skills

· Sound communication and stakeholder management skills

· Degree in relevant discipline (qualification in Actuarial studies, Economics, Finance, Statistics, Maths, or Sciences preferred)

If this sounds like you then apply today!

Advertising End Date: 29/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW - CBP South, 11 Harbour Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Advanced Analytics Senior Analyst","datePosted":"2025-08-19","description":"

You are a curious and enthusiastic individual with a true passion for analytics.
We are a dedicated team focused on identifying and resolving customer breakpoints within business processes. We collaborate with stakeholders across CBA to minimize customer complaints.
Together we can harness the power of analytics and technology to identify solutions for our customers and communities to help build a brighter future and really make a difference.

Do work that matters:

Here, you’ll turn your passion into reality. We are seeking an Advanced Analytics Senior Analyst who is driven by curiosity, possesses strong problem-solving skills, and has a passion for amplifying breakpoints within the customer journey. This role is pivotal in delivering strategic insights and data-driven solutions that impact customer experience. You will manage complex analytical projects, ensure the effective use of advanced analytics tools, and foster a culture of data-driven decision-making within the organization.

Key Responsibilities

Apply Advanced Analytics Techniques: Lead the discovery of customer breakpoints through advanced analytics techniques such as machine learning algorithms, LLM’s, clustering, and other advanced analytics techniques. Ensure the robustness, accuracy, and relevance of analytical solutions.
Collaborate with Senior Management and Stakeholders: Work closely with senior management and other stakeholders to identify and prioritize breakpoints. Communicate complex analytical concepts in a clear and actionable manner.
Maintain Data Governance: Uphold data governance standards and practices. Ensure the integrity, quality, and security of data used in analysis.
Drive Continuous Improvement and Innovation: Stay current with the latest trends and technologies in data analytics and machine learning. Drive continuous improvement and innovation in analytical methodologies and tools.

We are seeking people who are:

Curious and Passionate: Driven by curiosity and a passion for applying advanced analytics techniques to improve customer experience.
Problem-Solving Leaders: Possess strong problem-solving leadership skills and the ability to manage complex analytical projects.
Effective Communicators: Able to communicate complex analytical concepts in a clear and actionable manner to non-technical stakeholders.
Innovative and Up-to-Date: Stay current with the latest trends and technologies in data analytics and machine learning, driving continuous improvement and innovation.

Tech skills

We use a board range of analytical tools; we don’t expect you to know them all but having significant experience and exposure with some of these (or equivalents) will set you up for success in this team.

Advanced Analytics: Proven experience in developing models, machine learning algorithms, and other advanced analytics techniques.
Advanced Analytics Tools: Significant experience with analytical software such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
Data Governance: Knowledge of data governance standards and practices, ensuring the integrity, quality, and security of data used in analysis.
Cloud Platforms: Familiarity with cloud platforms (AWS)

If this role sounds like you – Apply now!

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office.

Advertising End Date: 18/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW - CBP South, 11 Harbour Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Analyst-Advanced Analytics & BI","datePosted":"2025-08-20","description":"

Job Posting Title:

Analyst-Advanced Analytics & BI

Req ID:

10128837

Job Description:

Analyst – Advanced Analytics & Business Intelligence

TEAM

The Media & Growth Marketing (MGM) team is focused on delivering powerful customer experiences across marketing touch points, by leveraging data and tools to bring marketing to life. The MGM team is part of the Global Marketing Center of Excellence within Disney Experiences (DX) and plays a vital role in campaign activation. The MGM Advanced Analytics and BI team leads consumer analytics and business intelligence for Direct Channel marketing campaigns, focused on improving targeting, messaging, and channel strategies using data-driven insights. We accomplish these capabilities with partnerships internally within Disney, as well with external vendors and software suppliers.

ROLE

This Data Science and Business Intelligence-focused role on the MGM Advanced Analytics & BI team consists of the following functions: Developing analyses, predictive models, self-service end-user tools, dashboards and work flows demonstrating Machine Learning algorithms, and innovative technologies such as Snowflake, Dataiku, and Tableau. This role will also work with multi-functional partners to showcase insights while recommending applications that advance DX Marketing and Audience strategies.

RESPONSIBILITIES

Overall

Develop tools that showcase insights and business intelligence using technologies such as SQL & Python, within the Dataiku, Snowflake, and Tableau environments

Build predictive models on guest behavior; examples include: likelihood to purchase, likelihood to engage with a marketing message, or estimating spend

Design and conduct statistical experiments (ex. A/B testing) to measure the efficiency of our audiences

Mine for insights and conduct analysis of key performance indicators and trends in our first- and third-party data. Present insights and opportunities to the MGM organization

Build data pipelines that transform data into actionable operational dashboards, reports, and tools using data visualization techniques

Promote products to production and maintain products in production to ensure availability in activation

Leverage tools such as Jira to track and catalog work and communicate progress to direct leadership

Maintain partnerships with key business partners within the MGM organization to identify opportunities to gain and implement intelligence

QUALIFICATIONS

We are looking for a foundation in applying data science modeling techniques and proper statistical testing methodology to guest behavior (resorts, cruises, theme park tickets, merchandise) and Marketing engagement. We desire someone who is comfortable researching and creating solutions.

2+ years of experience in business intelligence technologies, visualizations, best practices, and methodologies
2+ years of experience using programming languages (Python or R preferred) to build predictive models and to conduct statistical testing with sound experimental design
2+ years of experience with Machine Learning algorithms and statistical methods including classification models such as logistic regression and decision trees, and segmentation models such as clustering and scoring.

Understanding of relational database methodology, data structures, data pipelines, and exploratory querying using SQL, and Python
Experience with data wrangling using SQL, Python and/or other processing methodologies
Experience translating business questions into appropriate analytical products that yield actionable results

Demonstrate proficiency with data visualization tools, preferably Tableau
Demonstrate strong relationship-building and partnering skills

Display strong written and verbal communication skills to communicate technical work to non-technical partners
Demonstrate problem-solving, organizational and time management skills.
Demonstrate critical thinking and a strong attention to detail.
Demonstrate an exploration mentality and be willing to be a leader in learning new spaces.

Bachelor’s degree in Statistics, Analytics, Business Administration, Mathematics, Computer Science or equivalent

Benefits and Perks

Our Benefits: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits

#LI-VT1

#DXMedia

#DXMarketing

Job Posting Segment:

Marketing

Job Posting Primary Business:

Customer Engagement

Primary Job Posting Category:

Data Analysis

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Celebration, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-08-20","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - FL - 220 Celebration Place, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Advanced Analytics Analyst - Strategic Insights","datePosted":"2025-08-09","description":"

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

NOTE: This position is not eligible for current or future visa sponsorship.

We are seeking an experienced Advanced Analytics Analyst to join our Business Banking Analytics team within our Enterprise Analytics & Customer Experience (EACX) Department. This role involves a blend of descriptive statistics, data science, data visualization, advanced analytics, statistical analysis and data engineering to deliver insightful analysis and support strategic initiatives for our business partners in product, marketing and sales.

The ideal candidate will have a strong foundation in descriptive statistics, data analysis, data visualization, data science and data engineering, combined with expertise in partnering with business partners as well as strong strategic analysis and effective communication.

This candidate will be comfortable identifying and sourcing new data sources, extracting, manipulating and analyzing the data, leveraging data science concepts within their analysis, developing effective visualizations and dashboards, extracting actionable and impactful insights and the ability to partner, communicate and strategize with the business by leveraging the insights from the data.

Key Responsibilities:

Descriptive Statistics & Data Analysis:
- Utilize descriptive statistics to summarize and interpret business banking data, providing clear insights into trends, patterns, anomalies and opportunities.
- Perform in-depth data analysis to support various business functions, ensuring data accuracy and actionable insights.

Advanced Statistics & Data Science:
- Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making.
- Develop and implement data science models to predict customer behavior, develop business rules and identify business opportunities.

Dashboard & Reporting Development:
- Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights to stakeholders.
- Ensure dashboards and reports are user-friendly, accurate, and aligned with business needs.

Data Engineering:
- Identify, source and manipulate new data sources and metrics for use in analysis.
- Build and optimize data pipelines and ETL processes to ensure seamless integration and high-quality data availability for analysis.
- Collaborate with data engineering teams to enhance data infrastructure and resolve data quality issues.

Strategic Analysis:
- Conduct strategic analyses to evaluate business performance, identify growth opportunities, and support strategic planning initiatives.
- Provide actionable recommendations based on data-driven insights to guide business strategies and improve operational efficiency.

Problem Solving:
- Address complex business problems with innovative analytical approaches and solutions.
- Work cross-functionally to define analytical requirements, develop solutions, and implement strategies to address business challenges.

Strategic Mindset:
- Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.
- Ability to partner with product partners, marketing, strategic partners, customer experience, and various business partners to translate a business problem into an analytics exercise and ultimately an actionable recommendation.

Presentation & Communication:
- Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through compelling presentations and reports.
- Develop and deliver presentations that clearly articulate the value of analytical insights and recommendations using effective and easy to understand data visualizations.

Basic Qualifications:

5+ years of experience in advanced analytics, data science, or a related field.
Bachelor's Degree in Business, Finance, Accounting, Statistics, Data Science, Analytics or related field.

Preferred Qualifications:

Financial services experience.
Strong data querying skills using SQL and SAS.
Proficiency in descriptive and advanced statistical analysis and comfortable extracting, manipulating and analyzing large complex datasets.
Expertise in dashboard and report development using tools such as Tableau or Power BI.
Ability to understand and leverage data science and machine learning concepts in solving analytics challenges.
Excellent problem-solving abilities and a strategic mindset, with a proven track record of translating data into actionable business insights.
Success partnering with business stakeholders to bring together analytics with business knowledge to solve a business problem and provide insights & opportunities to stakeholder.
Strong presentation and communication skills, with the ability to effectively convey complex data findings to diverse audiences.
Self-starter with a strong attention to detail and an ability to deal with ambiguity.
Organized, disciplined, and can manage multiple projects simultaneously.
Certification in business analytics, data mining, data science or statistical analysis.
Master’s Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science.

NOTE: This position is not eligible for current or future visa sponsorship.

Location Note - The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

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Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

What you’ll do

Typical tasks may include, but are not limited to, the following:

Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

What you’ll need

Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
5+ years of related experience.
Certification is required in some areas.

What you’ll bring

An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge.
Leads significant projects with strategic autonomy, influencing executive decisions.
Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.

Supervisor:

TCP Career Step Differentiator:

Performs very complex advanced analytics work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.

Our Lead Advanced Analytics - GIS Analyst, earns between $130,700 - $196,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. 

Joining our team comes with amazing perks and benefits:

Medical/Dental/Vision coverage 
401(k) plan 
Tuition reimbursement program 
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) 
Paid Parental Leave 
Paid Caregiver Leave 
Additional sick leave beyond what state and local law require may be available but is unprotected 
Adoption Reimbursement 
Disability Benefits (short term and long term) 
Life and Accidental Death Insurance 
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal 
Employee Assistance Programs (EAP) 
Extensive employee wellness programs 
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
AT&T internet (and fiber where available) and AT&T phone

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.

Apply today!

Weekly Hours:

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$130,700.00 - $196,100.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Are you enthusiastic about utilizing Geographical Information Systems (GIS) to discover unique patterns, trends, and insights? We are looking for a highly skilled Lead Advanced Analytics professional to join our team and play a crucial role in developing innovative solutions with cutting-edge GIS technology. Collaborate with cross-functional teams to drive results by analyzing wireless, wireline, and business location data sets.

What you’ll do

Problem-Solving & Solution Development:
- Proactively design and present GIS-based solutions that address critical business challenges.
- Clearly articulate how GIS technology delivers value and insights to internal stakeholders, Client Support & Strategy Development:
- Collaborate closely with clients to define and support complex strategies using ESRI ArcGIS tools.

Technical Leadership:
- Act as a subject matter expert in ESRI ArcGIS and telecom data libraries.
- Mentor and guide team members on best practices and technical approaches.

Innovation & Adoption:
- Promote the integration of new modeling techniques and data insights across downstream teams.
- Analyze existing model data to identify future directions and AI/ML requirements. Data Analysis & Hypothesis Formulation
- Interpret data to generate hypotheses and develop analytical strategies that inform business decisions and tooling enhancements.

What you’ll need

5+ years of hands-on experience with GIS and ESRI technologies, including map creation, spatial analysis, and web app configuration.
Comprehensive understanding of ArcGIS from an IT perspective—covering hardware, storage, security, networking, web services, virtualization, and cloud platforms.
Skilled in diagnosing and resolving ArcGIS deployment issues.
Familiarity with geodatabases and the underlying database management systems.
Solid grasp of cloud computing principles, especially within Microsoft Azure environments.
Proficient in programming and scripting using Python and PySpark.
Foundational knowledge of spatial analytics to identify patterns and support organizational decision-making.
Strong leadership and communication abilities to collaborate across teams, solve challenges, introduce new ideas, and drive fast results.
Power BI and/or Tableau a plus

Minimum Qualifications and Required Skills

Education:

Bachelor’s degree in Geographic Information Systems (GIS), Computer Engineering, Computer Science, Applied Science, Electrical Engineering, Math, or equivalent experience.

Experience:

Typically requires 5+ years of combined technical, analytical, and communication expertise.
Data Visualization: Capable of designing user-friendly, interactive dashboards for both geographic and non-geographic data.
Tools: Experience with ESRI ArcGIS Pro, Alteryx for building data models, familiarity with Snowflake, PostgreSQL
Programming Language: Python, SQL Join Our Team Bring your passion for GIS, telecom networks, Data connectivity to a team that values innovation. Apply your geospatial expertise to help us deliver impactful solutions and shape the future of connectivity.

Supervisor:

TCP Career Step Differentiator:

Performs very complex advanced analytics work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.

Joining our team comes with amazing perks and benefits:

Medical/Dental/Vision coverage
401(k) plan 
Tuition reimbursement program 
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) 
Paid Parental Leave 
Paid Caregiver Leave 
Additional sick leave beyond what state and local law require may be available but is unprotected 
Adoption Reimbursement 
Disability Benefits (short term and long term) 
Life and Accidental Death Insurance 
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal 
Employee Assistance Programs (EAP) 
Extensive employee wellness programs 
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
AT&T internet (and fiber where available) and AT&T phone

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.

Apply today!

Weekly Hours:

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$130,700.00 - $196,100.00

","hiringOrganization":{"@type":"Organization","name":"AT&T","sameAs":"https://www.att.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA:TX:Dallas / Four AT&T Plaza (311 S Akard St) - Adm:311 S Akard St, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Sr Analyst-Advanced Analytics & BI","datePosted":"2025-08-20","description":"

Job Posting Title:

Sr Analyst-Advanced Analytics & BI

Req ID:

10126090

Job Description:

Sr. Analyst – Advanced Analytics & Business Intelligence

TEAM

ROLE

RESPONSIBILITIES

Overall

Develop tools that showcase insights and business intelligence using technologies such as SQL & Python, within the Dataiku, Snowflake, and Tableau environments

Build predictive models on guest behavior; examples include: likelihood to purchase, likelihood to engage with a marketing message, or estimating spend

Design and conduct statistical experiments (ex. A/B testing) to measure the efficiency of our audiences

Mine for insights and conduct analysis of key performance indicators and trends in our first- and third-party data. Present insights and opportunities to the MGM organization

Build data pipelines that transform data into actionable operational dashboards, reports, and tools using data visualization techniques

Promote products to production and maintain products in production to ensure availability in activation

Develop plans and timelines for individual projects by working in agile framework to deliver work products in sprints. Leverage tools such as Jira to track and catalog work and communicate progress to direct leadership

Mentor cast that perform supporting tasks

Maintain strong partnerships with key business partners within the MGM organization to identify opportunities to gain and implement intelligence

QUALIFICATIONS

We are looking for demonstrated experience applying data science modeling techniques and proper statistical testing methodology to guest behavior (resorts, cruises, theme park tickets, merchandise) and Marketing engagement. We desire someone who is comfortable planning, researching, and creating solutions.

5+ years of experience in business intelligence technologies, visualizations, best practices, and methodologies
5+ years of experience using programming languages (Python or R preferred) to build predictive models and to conduct statistical testing with sound experimental design
5+ years of experience with Machine Learning algorithms and statistical methods including classification models such as logistic regression and decision trees, and segmentation models such as clustering and scoring.

Strong understanding of relational database methodology, data structures, data pipelines, and exploratory querying using SQL, and Python
Proven experience with data wrangling using SQL, Python and/or other processing methodologies
Proven experience with translating business questions into appropriate analytical products that yield actionable results
Demonstrate strong proficiency with data visualization tools, preferably Tableau

Demonstrate strong relationship-building and partnering skills

Display strong written and verbal communication skills to communicate technical work to non-technical partners
Demonstrate problem-solving, organizational and time management skills.
Demonstrate critical thinking and a strong attention to detail.
Demonstrate an exploration mentality and be willing to be a leader in learning new spaces.

Bachelor’s degree in Statistics, Analytics, Business Administration, Mathematics, Computer Science or equivalent
Preferred: Master’s degree in Statistics, Analytics, Business Administration, Mathematics, Computer Science or equivalent

Benefits and Perks

#LI-VT1

#DXMedia

#DXMarketing

Job Posting Segment:

Marketing

Job Posting Primary Business:

Customer Engagement

Primary Job Posting Category:

Data Analysis

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Celebration, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-07-16","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - FL - 220 Celebration Place, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Advanced Analytics Engineer","datePosted":"2025-08-05","description":"

Want to be a bswifter?

At bswift we’ve been transforming benefits administration since 1996, making it simpler, smarter, and more human. Our state-of-the-art, cloud-based technology and services empower employees to understand, manage, and love their benefits. From downtown Chicago, and remotely across the country, we serve thousands of companies and millions of people nationwide, reducing administrative burdens and freeing HR teams to focus on creating thriving, people-first workplaces.

We’re looking for motivated and goal-driven individuals who share our passion for delivering excellence and creating solutions that make a difference. The reward is a fun, flexible and creative environment with ample opportunity for professional and personal growth. If you love the bswift values of pursue excellence, embrace accountability, deliver superior service, and be a great place to work, we want to hear from you!

bswift is seeking an Advanced Analytics Engineer to shape the development of our new data lake infrastructure and provide advanced analytical support across business functions. This role will serve as a critical link between IT, analytics, and business stakeholders, leveraging analytical engineering and statistical expertise to drive strategic decisions and operational efficiency.
If you are passionate about building scalable data systems and applying analytics in real-world business settings, this opportunity is for you.

Key Responsibilities
Analytical Engineering & Infrastructure Development
Serve as the primary analytical liaison with IT for the design and implementation of a new enterprise data lake.
Stand up governance practices that ensure data quality is achieved through accuracy, completeness, and timely data flows.
Develop code and data structures that enable efficient data access and analysis, focusing on foundational architecture rather than surface-level reporting.
Stand up new data sources and ensure data integrity and usability for business applications.
Advanced Analytics & Statistical Insight
Apply statistical programming (e.g., Python, R, or SAS) to analyze complex datasets and support business decision-making.
Translate analytical findings into actionable insights for operational and strategic initiatives.
Support high-impact business questions with inferential thinking and real-world data interpretation.
Cross-Functional Collaboration
Partner with business stakeholders to understand data needs and deliver solutions that drive measurable outcomes.
Communicate technical concepts clearly to non-technical audiences, including senior leadership.
Collaborate with cross-functional teams to ensure data solutions align with business goals.

Requirements
SQL Expertise: 8+ years of experience writing complex queries and creating core logic for technical teams to create or use data tables.
Statistical Programming: Proficiency in Python, R, or similar programming language with at least 3 years of hands-on experience.
Analytical Engineering: Experience working with IT to guide creation of analytical database structures.
Business Acumen: Proven ability to apply statistical methods in a business context, balancing rigor with practical decision-making.
Communication: Strong verbal and written communication skills with the ability to influence stakeholders.
Collaboration: Ability to work independently while effectively engaging with cross-functional teams.

Preferred Qualifications
Experience in a corporate or business environment (non-academic).
Familiarity with cloud-based data platforms and modern data engineering tools.
Exposure to AI/ML models and experience analyzing their impact.

*Please not we are unable to provide Visa sponsorship for this role.

\n\n

Why Join bswift?

At bswift, we empower our employees to make a meaningful impact, innovate, and grow. Joining our team means stepping into a collaborative and dynamic environment that values creativity, initiative, and a passion for client success. We are dedicated to fostering an inclusive workplace that celebrates diversity and values each team member’s unique contributions.

Benefits of Working at bswift:

Comprehensive Health Benefits: Access to health, dental, and vision plans to support your wellness and that of your family.
Competitive Compensation: A compensation package that recognizes your skills, experience, and contributions, including performance-based incentives for most roles.
Remote first, Office friendly environment! No time to commute? No problem!
Retirement Savings Plans: Options to help you plan for a secure financial future with employer-sponsored retirement savings programs.
Professional Development: Opportunities for career growth, including training and access to resources to support your career progression.
Supportive Culture: A work environment that encourages collaboration, open communication, and creative problem-solving, where your voice and ideas are valued.
Employee Wellbeing Initiatives: Programs focused on mental health, financial planning, and wellness resources to help you thrive inside and outside of work.

Make an Impact: At bswift, your work directly contributes to transforming how organizations approach benefits administration and client engagement. Join us to be part of an organization that is making a meaningful difference in the lives of our clients and their employees.

Specific benefit offerings vary by position and may be subject to change.

Standard working hours are 8am-5pm Central Time, unless otherwise stated in the Job Description.

In the spirit of pay transparency, we are excited to share the base salary range for this position is $110,000-$130,000, exclusive of fringe benefits or potential bonuses. If you are hired at bswift, your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. In addition to those factors – we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future & continued salary growth. We also offer a generous compensation and benefits package!

\n\n\n

At bswift, our mission is clear: Become the preeminent benefits administrator through exceptional people, innovative technology, and delighted customers. And our values are at the heart of everything we do to accomplish that mission. We Pursue Excellence, Embrace Accountability, Deliver Superior Service, and strive to Be A Great Place To Work. We take pride in having an engaged, collaborative team that goes the extra mile to get the job done right.

bswift has been regularly named one of Chicago’s Best and Brightest Companies to Work For®, as well as one of the Nation’s Best and Brightest Companies to Work For® year after year. We offer a fun, flexible, and creative environment where you can grow both professionally and personally.

If you have what it takes to join our award-winning culture, we’d love to hear from you!

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Organization:
At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.
Job Title: Advanced Analytics Manager – COO AI & Advanced Analytics
Location: Bangalore
Business & Team: Advanced Analytics Manager
Impact & contribution:
The Advanced Analytics Manager plays a key role in delivering data-driven insights and solutions within the COO AI & Advanced Analytics CoE. This role involves hands-on development of machine learning models, data analysis, and visualization to support operational excellence. The ideal candidate will have strong technical skills and the ability to work collaboratively across teams.
Roles & Responsibilities:
- Develop and deploy machine learning models to address business problems.
- Conduct exploratory data analysis and generate actionable insights.
- Utilize generative AI tools for enhancing analytical capabilities.
- Create dashboards and visualizations using tools like Tableau and Power BI.
- Collaborate with stakeholders to understand requirements and deliver solutions.
- Maintain high standards in data quality, governance, and documentation.
- Support the Senior Manager in strategic initiatives and team development.
Essential Skills:
- 8+ years of experience in data science, analytics, or related fields.
- Strong programming skills in Python and SQL.
- Experience with machine learning techniques and model deployment.
- Familiarity with generative AI concepts and tools.
- Proficiency in data visualization tools such as Tableau, Power BI.
- Experience with cloud platforms and data engineering concepts.
- Strong problem-solving and communication skills.
Education Qualifications:
Bachelor’s or master’s degree in computer science, Engineering, Information Technology.
Job Advert TextJob Advert Text
Organization:
At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.
Job Title: Advanced Analytics Manager – COO AI & Advanced Analytics
Location: Bangalore
Business & Team: Advanced Analytics Manager
Impact & contribution:
The Advanced Analytics Manager plays a key role in delivering data-driven insights and solutions within the COO AI & Advanced Analytics CoE. This role involves hands-on development of machine learning models, data analysis, and visualization to support operational excellence. The ideal candidate will have strong technical skills and the ability to work collaboratively across teams.
Roles & Responsibilities:
- Develop and deploy machine learning models to address business problems.
- Conduct exploratory data analysis and generate actionable insights.
- Utilize generative AI tools for enhancing analytical capabilities.
- Create dashboards and visualizations using tools like Tableau and Power BI.
- Collaborate with stakeholders to understand requirements and deliver solutions.
- Maintain high standards in data quality, governance, and documentation.
- Support the Senior Manager in strategic initiatives and team development.
Essential Skills:
- 8+ years of experience in data science, analytics, or related fields.
- Strong programming skills in Python and SQL.
- Experience with machine learning techniques and model deployment.
- Familiarity with generative AI concepts and tools.
- Proficiency in data visualization tools such as Tableau, Power BI.
- Experience with cloud platforms and data engineering concepts.
- Strong problem-solving and communication skills.
Education Qualifications:
Bachelor’s or master’s degree in computer science, Engineering, Information Technology.

Advertising End Date: 28/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Manyata Tech Park Road, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Advanced Analytics Manager","datePosted":"2025-08-11","description":"Organization:

At CommBank we believe in working somewhere that works for you. We have many flexible working options available so talk to us about which arrangements could work best for you.

Job Title: Manager Fraud & Scams Analytics

Location: Bangalore

Business & Team: The Fraud & Scams Analytics team

Impact & contribution:

Fraud Analytics is responsible with defining and execution of robust fraud analytics procedures for the Group.

Our team’s diverse backgrounds means we can draw on one another’s experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia’s largest real-time transaction monitoring system, handling millions of transactions per day.

Roles & Responsibilities:

Work closely with senior management and other stakeholders to identify and prioritize business challenges that can be addressed with analytics. Communicate complex analytical concepts in a clear and actionable manner.
Develop data features for fraud and scam detection models.
Enhance scripts to improve feature and profile accuracy.
Mentor junior analysts, providing guidance and support in their analytical work..
Liaise with Data Scientists and rule writers on how features can be used to improve the overall fraud detection for the bank.
Use self-service tools to schedule and monitor written script.

Essential Skills:

8+ years of experience in Data Analytics.
Advanced level of programming language (Python, SQL)
Develop predictive models, machine learning algorithms, and other advanced analytics techniques. Ensure the robustness, accuracy, and relevance of analytical solutions.
An analytical mindset with the ability to solve problems in creative ways
Ability to understand fraudster behavior and psychology
Maintain data governance standards and practices. Ensure the integrity, quality, and security of data used in analysis.
Ability to collaborate effectively within the analytics community and stakeholders
Tertiary qualified in a numerate, engineering and/or IT based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, Data Science.
An understanding of data engineering concepts would be beneficial.

Education Qualifications:

Bachelor’s or master’s degree in computer science, Engineering, Information Technology.

Advertising End Date: 28/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Manyata Tech Park Road, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Advanced Analytics","datePosted":"2025-08-19","description":"

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future- you’ll create it.

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Overall, Purpose: Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:

Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction. Supervisor: No

TCP Career Step Differentiator: Performs complex advanced analytics work, build business cases, and makes recommendations for improvements.

Education/Experience: Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 3+ years of related experience. Certification is required in some areas.

Our Senior Advanced Analytics, earn between $118,800 - $178,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.

And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

Weekly Hours:

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$118,800.00 - $178,200.00

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Takealot.com, South Africa's leading online retailer, is looking for a highly talented Advanced Analytics Manager to join our team in Cape Town.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you've been challenged before? Think again!

Scale: Over 4 million happy shoppers shop online on takealot.com and 2.7 million on Mr D. Show them what you can do.
Learn: We work with the best of the best. Work alongside leaders and upskill in record time.
Grow: Expand your career in the fast-growing Takealot Group: Takealot.com and Mr D. We like to promote from within: Here's your chance.

The Advanced Analytics Manager is a key leadership role within the Engineering Data department, responsible for overseeing a team of data analysts who support various business units across the group of companies. This role will be instrumental in establishing new data analysis methodologies, standards, and best practices to ensure efficient and effective data-driven decision-making across the Takealot group. The Advanced Analytics Manager will work closely with BI and Analytical engineering teams to ensure seamless delivery of data analysis outputs through BI systems and reporting tools.

Who’s who in the tech space

This position reports to the Engineering Director (Data)

Your mission, should you choose to accept it:

Lead and define the Advanced Analytics strategy, ensuring alignment with the Group Data Strategy through the effective use of predictive and prescriptive analytics.
Lead and oversee a team of cross functional analysts, providing support to various business verticals.
Manage advanced analytics initiatives from start to finish, encompassing problem definition, data analysis, model development, testing, implementation, and ongoing oversight.
Work with cross-functional teams to identify business needs and convert them into analytical projects and solutions.
Establish consistent methodologies for analytics processes, tools, and frameworks to guarantee the scalability, performance, and quality of data products.
Train and mentor team members, while fostering an environment of continuous learning and innovation.
Manage stakeholder relationships to prioritize analytics workstreams aligned with strategic business objectives.
Integrate advanced analytics processes with the group data platform and BI systems.
Ensure adherence to analytics governance standards, data privacy, and compliance policies in all delivered solutions.
Provide input and strategic direction on adopting emerging technologies in the advanced analytics space.
Drive cultural change toward analytics adoption and data-informed decision-making across the group.
Own key data products to ensure that they are catalogued and maintained according to standards.

Skills we need:

Introduce new standards and best practices for analytics and insights across the group.
Support analysts in their professional development and career path by building their career framework.
Develop training and upskilling programs to improve general data literacy across the group.
Create new data product certification standards and drive the adoption.
Demonstrates knowledge of key business functions and the technologies supporting their analytics and decision making.
Leads discussions with senior leaders across the business to encourage and enable analytical insights.
Sets expectations for and reviews management and key stakeholder reports and dashboards.
This role entails securing substantial business ownership and commitment partnering with data teams guided by Data Mesh principals.
Holds self and team members accountable for achievements, publicly recognizing successes.

Experience and Qualifications:

Preferably a Bachelor’s Degree or advanced Diploma in Data Science, Applied Mathematics, Computer Science, Statistics, or a related field.
Advanced degrees (Master’s/Ph.D.) are highly advantageous.
Demonstrable expertise in statistical analysis, predictive modeling, and machine learning techniques.
Extensive experience working with SQL and programming languages such as Python or R
Skilled with data tools and integration frameworks, especially in cloud-based environments.
Strong knowledge of advanced analytics platforms and frameworks.
A strong grasp of the entire analytics pipeline, from preparing data to deploying data products into production.
Additional Preferred Experience:

Experience in the retail or e-commerce industry.
Familiarity with Agile development methodologies.
Knowledge of data governance frameworks and best practices.

Let’s talk about life @ Takealot Group

The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.
Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini-golf, think good times).
Staff discount. Millions of products across 28 departments. What more could you ask for?
Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech of the latest tech.
Help when you need it most: Confidential counselling, legal support and financial guidance, for free, anytime, anywhere.
Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

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Takealot.com, South Africa's leading online retailer, is looking for a highly talented Advanced Analytics Manager to join our team in Cape Town.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you've been challenged before? Think again!

Scale: Over 4 million happy shoppers shop online on takealot.com and 2.7 million on Mr D. Show them what you can do.
Learn: We work with the best of the best. Work alongside leaders and upskill in record time.
Grow: Expand your career in the fast-growing Takealot Group: Takealot.com and Mr D. We like to promote from within: Here's your chance.

Who’s who in the tech space

This position reports to the Engineering Director (Data)

Your mission, should you choose to accept it:

Lead and define the Advanced Analytics strategy, ensuring alignment with the Group Data Strategy through the effective use of predictive and prescriptive analytics.
Lead and oversee a team of cross functional analysts, providing support to various business verticals.
Manage advanced analytics initiatives from start to finish, encompassing problem definition, data analysis, model development, testing, implementation, and ongoing oversight.
Work with cross-functional teams to identify business needs and convert them into analytical projects and solutions.
Establish consistent methodologies for analytics processes, tools, and frameworks to guarantee the scalability, performance, and quality of data products.
Train and mentor team members, while fostering an environment of continuous learning and innovation.
Manage stakeholder relationships to prioritize analytics workstreams aligned with strategic business objectives.
Integrate advanced analytics processes with the group data platform and BI systems.
Ensure adherence to analytics governance standards, data privacy, and compliance policies in all delivered solutions.
Provide input and strategic direction on adopting emerging technologies in the advanced analytics space.
Drive cultural change toward analytics adoption and data-informed decision-making across the group.
Own key data products to ensure that they are catalogued and maintained according to standards.

Skills we need:

Introduce new standards and best practices for analytics and insights across the group.
Support analysts in their professional development and career path by building their career framework.
Develop training and upskilling programs to improve general data literacy across the group.
Create new data product certification standards and drive the adoption.
Demonstrates knowledge of key business functions and the technologies supporting their analytics and decision making.
Leads discussions with senior leaders across the business to encourage and enable analytical insights.
Sets expectations for and reviews management and key stakeholder reports and dashboards.
This role entails securing substantial business ownership and commitment partnering with data teams guided by Data Mesh principals.
Holds self and team members accountable for achievements, publicly recognizing successes.

Experience and Qualifications:

Preferably a Bachelor’s Degree or advanced Diploma in Data Science, Applied Mathematics, Computer Science, Statistics, or a related field.
Advanced degrees (Master’s/Ph.D.) are highly advantageous.
Demonstrable expertise in statistical analysis, predictive modeling, and machine learning techniques.
Extensive experience working with SQL and programming languages such as Python or R
Skilled with data tools and integration frameworks, especially in cloud-based environments.
Strong knowledge of advanced analytics platforms and frameworks.
A strong grasp of the entire analytics pipeline, from preparing data to deploying data products into production.
Additional Preferred Experience:

Experience in the retail or e-commerce industry.
Familiarity with Agile development methodologies.
Knowledge of data governance frameworks and best practices.

Let’s talk about life @ Takealot Group

The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.
Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini-golf, think good times).
Staff discount. Millions of products across 28 departments. What more could you ask for?
Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech of the latest tech.
Help when you need it most: Confidential counselling, legal support and financial guidance, for free, anytime, anywhere.
Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

","hiringOrganization":{"@type":"Organization","name":"Takealot Group","sameAs":"https://takealotgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Director, Advanced Analytics & Insights","datePosted":"2025-08-08","description":"

Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi-dimensional expansion to reach more patients through a rich pipeline of differentiated assets, led by VYVGART, our first-in-class neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat patients across dozens of severe autoimmune diseases.

We are building a new kind of biotech company, one that maintains its roots as a science-based start-up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company, our partnerships, our science, and our people, because when we do, we deliver more for patients.

The Director, Advanced Analytics & Insights will play a pivotal role in developing an analytics roadmap that aligns with the strategies of the Indication Strategy Teams. (IST). This role is essential in transforming data into actionable insights to drive impactful business decision. You will build strong relationships with key stakeholders to ensure alignment with the overall strategy while establishing strategic partnerships and managing cross-functional dependencies. Collaboration within your community will be key, fostering a culture of innovation and thought leadership to ensure business value and user feedback are effectively translated into new developments when necessary.

ROLES AND RESPONSIBILITIES

Partner with US Indication Strategy Teams (IST) to develop and support strategic initiatives, leveraging data and advanced analytics to generate actionable insights that drive business growth
Provide thought leadership and perform hand-on analytics, playing a dual role in supporting CIDP, MG, or pipeline products
Collaborate with leadership to understand key business questions, identify the right analytical approach, align insights from commercial analytics and field teams, enabling smarter, data-driven decisions that address key business challenges and opportunities
Oversee all aspects of analytics, including predictive modelling, targeting & segmentation, promotional effectiveness, resource optimization, marketing strategy development, and pull-through analytics
Drive innovation by applying expertise in data science, artificial intelligence, machine learning, and advanced modelling, ensuring data-driven, impactful business decisions
Leverage existing technology and explore innovative solutions beyond traditional models to enhance efficiency and effectiveness

SKILLS AND COMPETENCIES

Adaptive and motivated leader with proven ability to build, lead, and execute while being hands-on and results-driven
Extensive experience in data analytics and insights to support strategic decisions, provide both strategic thought leadership and hands-on analytics
Deep understanding of the pharmaceutical landscape, with expertise in interpreting complex data to inform decision and enhance effectiveness
Strong strategic and collaborative approach, excelling in cross-functional alignment with a matrix organization
Hands-on expertise in applying advanced analytics and statistical methods to large and disparate datasets, preferably in patient level, including statistical analysis, modelling, machine Learning, and artificial intelligence
Effectively manage multiple external vendor and partner relationships, ensuring high quality and insightful deliverables to achieve business objectives within budget and timelines
Ability to travel up to 15% of the time

EDUCATION, EXPERIENCE AND QUALIFICATIONS

BA or BS, Advanced Degree Preferred
A minimum of 8 years of experience in the pharmaceutical or healthcare industry, with a strong focus on data analytics, and insights
5+ years of domain expertise in these areas are highly desired: data analytics, or other related strategic analytics and management consulting
Extensive experience and deep understanding of various pharmaceutical data facets and processes, including data creation, acquisition, management, governance, quality, integration, visualization and statistical modelling
Hands-on expertise and proficiency with analytical and visualization tools (SQL, SAS, R, Python, Tableau, Alteryx, PowerBI etc.)
Strong analytical background, strategic thinking and problem-solving skills, with the ability to transform complex and dynamic data sets into actionable insights that align with business priorities and drive impactful results

At argenx, all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer.

Before you submit your application, CV or any other personal details to us, please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates (“argenx”) will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights, please contact our Global Privacy Office by email at privacy@argenx.com.

If you require reasonable accommodation in completing your application, interviewing, or otherwise participating in the candidate selection process please contact us at hr.us@argenx.com. Only inquiries related to an accommodation request will receive a response.

","hiringOrganization":{"@type":"Organization","name":"argenx","sameAs":"https://argenx.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Product Manager - Advanced Analytics","datePosted":"2025-08-11","description":"

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

Job Description

Experian is seeking a visionary and strategic Product Manager to lead the development and growth of our Global Advanced Analytics capabilities within the Identity and Fraud (ID&F) domain. This role is pivotal in shaping the future of our Ascend Analytics platform, driving innovation, and delivering impactful solutions that protect consumers and businesses worldwide.

As part of the global product team, you will be responsible for defining and executing the product strategy and roadmap, working across a matrixed organization that spans multiple product portfolios and regional teams. Experience managing global products will be highly valuable.

Key Responsibilities·

Define and drive the product vision and strategy for Ascend Ops capabilities within Identity and Fraud.

You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering.
Lead the execution of the product roadmap in agile environment.
Collaborate with regional and cross-functional teams to identify market opportunities, gather requirements, and prioritize features.
Develop and implement business and product strategies to expand our advanced analytics offerings and client base.
Leverage data and analytics to inform product decisions, track performance, and measure success.
Partner closely with engineering teams to deliver on the platform vision, ensuring a seamless and intuitive user experience.
Coordinate sprint planning and execution, working with technical teams to ensure thigh-quality delivery.
Champion innovation and continuous improvement across the product lifecycle.

Qualifications

Excellent written and verbal English
3+ Years Relevant Product Management Experience
Knowledge/Certification of Agile and Scrum Methodologies
Bachelor's degree or equivalent relevant experience required.
Proven experience in product management within a B2B SaaS environment.
Strong domain knowledge in credit reference data, behavioral analytics, and fraud prevention.
Hands-on experience integrating AI/ML technologies into commercial products.
Familiarity with model lifecycle management (development, deployment, governance).
Understanding of relevant regulatory frameworks and compliance requirements.
Demonstrated success in developing go-to-market and commercialization strategies.
Storytelling, stakeholder engagement, and cross-functional collaboration.
Experience working in agile product development environments.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$91,200 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Retail model validation team within MV is responsible for the vetting and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail and trading products, as well as to review, validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.

Job Description:

The position reports to Senior Manager, Retail Credit Risk, Model Validation

Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for projecting Pre-Provision Net Revenue (PPNR) estimates for stress testing (DFAST, EWST) purposes, adjudication/management/collection for various retail products, marketing and analytics, etc.
Develop independent benchmarks for use in the validation of the above listed models. These benchmark models could be supervised learning, unsupervised learning and deep learning algorithms. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
Prepare detailed reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model limitations noted.
Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
Establish and maintain productive working relations with internal model development groups such as US and CAD Retail Model Development, Financial Stress Testing (FST), etc., as well as external vendors who have developed customized models for TD.
Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
Stay current in knowledge of credit risk management methodologies, predictive modeling and statistical analysis.

Requirements and/or qualifications:

Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
At least 5 years of experience with model development/validation, including machine learning models, dealing with PPNR stress testing, scorecard and/or capital models
Hands-on experience with relevant programming languages, such as Python, SAS, R is a must
Knowledge in retail banking products, customer behaviours, and macroeconomic impacts is a definite asset
Excellent verbal and written communication skills
Good time management and multitasking skills
Quick learner who grasps new concepts and techniques quickly
Must be a good team player

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet","hiringOrganization":{"@type":"Organization","name":"TD","sameAs":"https://www.td.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"TD Centre - TD Tower - 66 Wellington Street West, Toronto, Ontario, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Advanced Analytics Anlyst","datePosted":"2025-08-18","description":"

A Day in the Life

In this exciting role as a Senior Advanced Analytics Analyst, you will have responsibility for developing and implementing compliant regulatory informatics within the Surgical OU Regulatory organization.

Operating Unit

Our Surgical OU is one new, powerful operating unit bringing together the people and product portfolio of Surgical Innovations and Surgical Robotics. We'll approach the market with a unified approach from concept single strategy, capitalize on our global commercial capabilities, and prove the power of our combined portfolio.

With the Medtronic Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions for the benefit of Medtronic and the customers and patients we serve

Responsibilities may include the following and other duties may be assigned

Regulatory data analysis
Liason with OU Regulatory to ensure accurate application of processes and assignment of data attributes
Reporting of regulatory data/ metrics
Setting up Power BI Dashboards, Smartsheets, hyperautomation solutions
Streamline Processes through use of Artificial Intelligence.
Data Steward of RIMS, GIC, tenders – ensures accuracy of data

Required Knowledge and Experience

Bachelor degree; Engineering or Science degrees preferred
7+ years quality assurance experience in medical or pharmaceutical industry
Familiarity with medical device Quality Management System requirements (e.g., US 21 CFR Part 820, ISO 13485:2016, Regulation (EU) 2017/745)
Experience running data queries and reports in software applications
Strong verbal and written communication skills and ability to work in a team oriented environment
Agile PLM knowledge/experience
Ability to work independently once trained
Ability to be proactive and lead initiatives
Ability to multitask.

Benefits & Compensation

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

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Brighter Futures Start Here

We are an inclusive team who power two of the most iconic and loved brands, Kmart and Target. We have more than 50,000 passionate individuals across our stores, distribution centres, and offices around the globe.

With our brands touching the lives of almost two million customers every week, you’ll feel the impact of the work you’ll do every day. As a leader in the retail market, we’re optimistic about our future and yours. We’re changing at a rapid rate, giving you challenging work that you’ll be proud of.

Join the team

We are seeking a visionary and strategic Head of Advanced Analytics to lead our enterprise-wide analytics transformation. This is a critical leadership position focused on building scalable, high-value data science solutions across key commercial and operational functions.

You will lead and inspire a team of senior data science managers, analytics leads, and analysts, turning complex data into practical solutions that improve forecast accuracy, optimize inventory, unlock sourcing value, and drive supply chain performance.

Success in this role depends on your ability to set a clear vision, align business and data priorities, lead large-scale programs, and foster a culture where analytics is trusted, actionable, and embedded

What you’ll be doing

Strategic Leadership: Develop and own the enterprise data science strategy across merchandise, sourcing, supply chain, and inventory domains.
Vision to Execution: Build and deliver a clear analytics roadmap with defined value outcomes and a scalable model for delivery.
Project & Program Management: Manage a portfolio of analytics initiatives, ensuring clarity of scope, structured delivery, and commercial impact.
Team Leadership: Lead, coach, and grow a high-performing analytics team with deep functional expertise and strong collaboration.
Advanced Modeling: Oversee the development of predictive models, optimization engines, and scenario simulations that drive better decision-making.
Business Partnering: Work closely with cross-functional leaders to embed analytics in daily operations and strategic initiatives.
Governance & Standards: Define best practices in analytics methodology, model validation, deployment, and impact tracking.
Cultural Leadership: Role-model data-driven behaviours and develop a culture of continuous learning and analytical thinking across the business.

To be successful in this role you’ll have:

10+ years in data science or analytics roles, with strong experience leading multi-disciplinary teams.
Demonstrated success in setting and executing enterprise analytics strategy.
Deep expertise in statistical modelling, machine learning, optimization, and applied forecasting.
Solid understanding of retail operations, supply chain planning, sourcing, and merchandise management.
Strong project leadership, able to manage concurrent priorities with commercial accountability.
Advanced technical capability in Python, SQL, R or similar; experience with modern data platforms is a plus.
Excellent communication skills, with a strong ability to engage business stakeholders and influence decisions.
Proven ability to develop and retain top analytics talent while building a high-trust, high-performance culture.

Benefits we’ll offer you:

Flexible hybrid working options through our Flex Where, Flex When, Flex Well policy.
A team member discount card that gives you a discount at Kmart, Target, Officeworks and Bunnings
Access to the Kmart for You benefits program which entitles you to exclusive discounts and benefits in the areas of entertainment, travel, lifestyle, and health – with over 60 suppliers!
We want you to feel rewarded for your commitment and hard work that's why eligible team members get the opportunity to participate in a bonus program
We offer inclusive parental leave, and ongoing support offered though our partnership with Circle In for team members of all backgrounds and family circumstances
A dynamic learning and support program
Opportunity to fast track your career through our Mentor Program as a Mentee or Mentor
A Kudos recognition program, where you are nominated by your peers to spin a wheel, to win a stack of cool prizes
Great career opportunities across the broader Wesfarmers Group

We celebrate the rich diversity of the communities in which we operate. We are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected and safe, and strive to ensure our recruitment process is accessible and welcoming, with applications encouraged from all candidates.

We encourage you to tell us about any workplace adjustments that you would like, by emailing kmartgroupcareers@kmart.com.au.

If you would like to explore a career with Kmart and this sounds like the perfect role for you – apply now!

#LI-Hybrid

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A Day in the Life

Responsibilities may include the following and other duties may be assigned

Regulatory data analysis
Liason with OU Regulatory to ensure accurate application of processes and assignment of data attributes
Reporting of regulatory data/ metrics
Setting up Power BI Dashboards, Smartsheets, hyperautomation solutions
Streamline Processes through use of Artificial Intelligence.
Data Steward of RIMS, GIC, tenders – ensures accuracy of data

Required Knowledge and Experience

Bachelor degree; Engineering or Science degrees preferred
7+ years quality assurance experience in medical or pharmaceutical industry
Familiarity with medical device Quality Management System requirements (e.g., US 21 CFR Part 820, ISO 13485:2016, Regulation (EU) 2017/745)
Experience running data queries and reports in software applications
Strong verbal and written communication skills and ability to work in a team oriented environment
Agile PLM knowledge/experience
Ability to work independently once trained
Ability to be proactive and lead initiatives
Ability to multitask.

Benefits & Compensation

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

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TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

As a Senior Data Scientist, you will have end-to-end ownership of critical analytics products for TRM’s customers. In collaboration with a highly skilled team of engineers, data scientists, research scientists and go-to-market teams, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.

The impact you will have here:

Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends.
Lead the roadmap and prioritisation of the analytics customer products suite based on market demands.
Use your high-level business acumen to collaborate with our go-to-market team and work directly with our customers to understand their challenges and pain points in order to creatively translate them into impactful models and products.
Develop complex statistical analysis, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains.
Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
As a leader in the team, you will collaborate closely with engineers, data scientists, and research scientists to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
Establish best practices and statistical rigor around data-driven decision-making

What we’re looking for:

Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
You have 8+ years of experience working in an analytical role.
You have customer facing experience and you enjoy sitting with the customers to understand their challenges.
You have a strong knowledge of relational databases, (e.g. SQL).
You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
You have a strong experience building scalable data and analytics products from design to deployment phases.
You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance.
You are delivery-oriented and you are experience in a face-paced environment.
You have excellent verbal and written communication skills and experience in influencing decisions with information.
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.

About the Team:

The team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration.
All team members, regardless of location must have at least 4 hour overlap with PST business hours.
The team is involved in 2 different on-calls\n
- Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
- Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)
\n

Learn about TRM Speed in this position:

Deliver a last-minute impactful project for a key customer
Build complex products effectively with tight timeframes (1-2 sprints for MVP)
Work on several projects in parallel with different priorities and stakeholders

\nThe following represents the estimated range of compensation for this role:\n

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only
The estimated base salary range for this role is $160,000 - $175,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

TRM moves fast—really fast. We know a lot of startups say that, but we mean it. We operate with urgency, ownership, and high standards. As a result, you’ll be joining a team that’s highly engaged, mission-driven, and constantly evolving.

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

We’re looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don’t worry if your experience doesn’t perfectly match a job description— we value passion, problem-solving, and unique career paths. If you’re excited about TRM’s mission, we want to hear from you.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Staff, Advanced Analytics, Community Support","datePosted":"2025-08-07","description":"

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.

The Difference You Will Make:

Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day analytics and create scalable data tools
Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community

In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted.

You are passionate about solving complex problems within the Community support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey

A Typical Day:

Drive measurements around LLMs to determine accuracy & produce actionable insights. Setup experiments & setup end to end launch of AI assistance.
Lead and drive data-driven roadmaps for the CS working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product, Operations & Engineering managers of varying technical levels
Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across CS platform and contact center network
Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences
Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space

Your Expertise:

A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Have experience in ML & digital AI products - chatbot, LLMs, search & personalization expertise
Have experience supporting community support and/or have worked closely with operations teams
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range$176,000—$220,000 USD","hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Advanced Analytics Lead, Strategic Modeling","datePosted":"2025-08-07","description":"

At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.

We’re building the analytics engine that powers strategic decision-making for America’s largest personal injury firm. This role involves building, maintaining, and evolving case-level forecasting models that drive headcount planning, revenue & P&L projections, and prescriptive recommendations. You’ll partner with leadership across operations, finance, and legal to translate data into staffing plans, financial outlooks, and actionable targets using SQL, Python, Excel, Power BI. This position will be a part of the Strategy & Insights group.

Core Responsibilities

• Develop & Own Forecasting Models: Build and continually tune drivers-based case progression and settlement forecasts that feed into attorney/staff headcount models, revenue projections, and P&L scenarios.

• Headcount & Capacity Planning: Translate case inventory and flow forecasts into staffing needs (attorneys, case managers, support), including “what-if” scenario modeling (growth, attrition, rightsizing) and pipeline management.

• Revenue & P&L Modeling: Integrate forecasted case outcomes, fee structures, and timing lags into multi-period financial models to project cash flow, revenue recognition, profitability, and marketing ROI.

• Prescriptive Analytics: Surface actionable recommendations (e.g., staffing reallocation, marketing spend adjustments, operations bottlenecks) based on deviations and leading indicators.

• Dashboarding & Automation: Build and maintain automated dashboards/reports (Power BI + SQL, Excel, Python pipelines) to surface forecast outputs, variance analyses, KPIs, and scenario comparisons to stakeholders.

• Cross-functional Partnership: Work closely with Operations, Finance, and Marketing to align assumptions, socialize forecasts, and embed analytic insights into planning cycles.

• Benchmarking & Goal Setting: Establish internal benchmarks (e.g., case resolution velocity, attorney productivity, budgeting) and help set realistic targets.

• Root Cause & Variance Analysis: Lead deep dives when actuals diverge from forecast; quantify driver impacts and recommend corrective actions.

• Influence & Storytelling: Provide the Strategy & Insights group with concise narratives and presentations to report to senior leadership for driving strategic decisions.

• Strategy & Insights: Provide timely, data-backed insights on special initiatives, one-off questions, and evolving business needs across multiple cross functional groups.

Qualifications

Must-Haves:

• Bachelor’s degree in computer science, engineering, statistics or related field.

• 4+ years of hands-on experience in data science, analytics, forecasting, or BI with proven ownership of models that influenced staffing/revenue decisions.

• Deep proficiency in SQL for exploring and transforming large operational datasets.

• Proficient in Python or R with hands-on experience in data processing, statistical modeling, automation, and machine learning (e.g., pandas, NumPy, ML libraries, or equivalent).

• Experience building interactive dashboards/reports, with an emphasis on best practices data modeling (Power BI strongly preferred).

• Strong Excel modeling skills.

• Demonstrated ability to translate data into business impact, translating findings to a non-technical audience.

• Familiarity with drivers-based and bottom-up forecast construction, variance analysis, and scenario planning.

• Comfortable working with ambiguity, juggling multiple planning cycles, and delivering under tight timelines.

• Excellent communication skills: ability to document and socialize assumptions, methodologies, and results.

Nice-to-Haves:

• Prior experience in legal operations, personal injury or litigation-focused forecasting, or professional services staffing models.

• Exposure to P&L modeling with lag structures (e.g., case lifecycle revenue recognition).

• Experience with prescriptive analytics / optimization (simple decision rules, cost-benefit tradeoffs).

• Familiarity with statistical survival analysis, competing risks, time series, causal inference, and specialized time-to-event modeling (common in case progression).

• Experience integrating data from CRM/Case management systems (e.g., Litify/Salesforce) into forecasting pipelines.

• Knowledge of revenue operations (RevOps) concepts and how they intersect with capacity and cost models.

• Experience with statistical tools.

• Experience building interactive internal tools.

#LI-AP1

Benefits

Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.

Equal Opportunity Statement

Morgan & Morgan 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.

E-Verify

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.

Privacy Policy

Here is a link to Morgan & Morgan's privacy policy.

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The Community You Will Join:

The Difference You Will Make:

Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day analytics and create scalable data tools
Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community

You are passionate about solving complex problems within the Community support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey

A Typical Day:

Drive measurements around LLMs to determine accuracy & produce actionable insights. Setup experiments & setup end to end launch of AI assistance.
Lead and drive data-driven roadmaps for the CS working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product, Operations & Engineering managers of varying technical levels
Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across CS platform and contact center network
Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences
Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space

Your Expertise:

A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Have experience in ML & digital AI products - chatbot, LLMs, search & personalization expertise
Have experience supporting community support and/or have worked closely with operations teams
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.

Your Location:

Our Commitment To Inclusion & Belonging:

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Pay Range$176,000—$220,000 USD","hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Manager - WFM Advanced Analytics","datePosted":"2025-08-11","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

The Senior Manager of WFM Advanced Analytics serves as the data science lead for the Retail Customer Care WFM Analytics Team which encompasses inbound, outbound, and digital customer interactions. The primary responsibilities include the development, implementation, & analysis of labor staffing, workload inputs, ETL automation, application development & root cause analysis. The position is accountable for cross-platform analytics which includes data governance, database design oversight, linear and nonlinear Machine Learning model development, statistical analysis, and big data analytics. Big data analytics will entail structured, semi-structured, and unstructured data sets from Large Language Models and Neural Networks which will require advanced technical skill sets. They will drive a culture of continuous learning, high emotional intelligence, output ownership, inspection, and root cause analysis, with a focus on removing variation from the system and removing defects from processes. The Senior Manager will work in a fast-paced, dynamic, and change readiness environment, with the flexibility to immediately adapt to shifting priorities and demands.  Approximately 10% travel.

Primary Duties and Responsibilities include:

Serve as the Analytics team SME on assigned projects, identifying and communicating key tasks required for project success; when unable to fulfill the SME role directly, ensure a team member is fully enabled to represent the team and drive progress forward.
Leverage advanced programming languages (e.g., SQL, Python, R) and machine learning models to architect and deploy comprehensive analytic solutions. These solutions will drive operational efficiency, optimize performance metrics, and automate key processes, including performance-based skilling, schedule optimization, and agent performance. Spearhead the collection, analysis, and execution of the organization's AI implementation strategies.
Mentor and develop the analytics team on cutting-edge technologies such as Large Language Models (LLM), Artificial Neural Networks (ANNs), and other machine learning advancements. Strategically prioritize workload and ensure adherence to the team's roadmap and deliverable commitments.
Act as the principal data science authority and primary liaison with Business Unit Leadership on operational impacts (telling the story with data). Lead and assess projects focused on risk and cost analysis, user interface development, and the enhancement of report delivery and automation
Ensure data integrity across all customer-facing sources by validating consistency and accuracy; proactively own the investigation and resolution of discrepancies through thorough research and remediation efforts
Forensic science level inspection of work for yourself and your team.
Collaborate with key stakeholders to ensure system and security compliance, design robust ETL pipelines, maintain source system connectivity, and manage financial obligations effectively.

Required Qualifications

2+ years demonstrated knowledge and experience with advanced Prompt Engineering for Large Language Models (LLM), Artificial Neural Networks (ANNs), and Data Governance
2+ years demonstrated knowledge of programming languages (Ex: Python, SQL, or R)
3+ years demonstrated utilization of Five9 ACD data
3+ years leading advanced analytics team

Preferred Qualifications

Demonstrated experience in data governance and version control standards
Demonstrated knowledge of utilizing back-end API’s for WFM software such as IEX, Verint, etc.
A.I./Machine Learning validation, testing and parameter tuning
Experience in data architecture with the ability to write scalable, production-level code within GCP & Snowflake environments
Data visualization development experience (Ex: Tableau or Power BI)
Demonstrated experience with Correlation Analysis
Demonstrated advanced Excel report development (e.g., Advanced Formulas, Power Pivot, Charts and Graphs, VBA & Macros, etc.)
Demonstrated experience with steering Business Unit Level ROI analysis & dissemination designed for executive level leadership (VP & above)

Education: Bachelor’s degree in business analytics, mathematics, or demonstrated equivalent work experience utilizing data to tell the story. Master’s degree preferred.

Pay Range

The typical pay range for this role is:

$75,400.00 - $165,954.00

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. This position also includes an award target in the company’s equity award program.

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: 08/23/2025

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":"Work At Home-Wisconsin, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Advanced Analytics Modeler/Data Scientist","datePosted":"2025-08-14","description":"Our Advanced Analytics Modelers translate raw data into actionable business information. This role, in the Advanced Analytics Department, applies economic, quantitative, and statistical skills in the development of underwriting, pricing, financial, and claims models to achieve profitable growth and make sound business decisions across all areas of Sentry Insurance.

Based on qualifications and experience, this position can be filled as an Advanced Analytics Modeler/Data Scientist I, II, or Senior.

This position will be located at our office in Nashville, TN or at our office in Madison, WI in a hybrid work model and is not a fully remote opportunity.

For this position, Sentry does not offer employment to holders of F-1, J-1, and H-1 Visas.

What You’ll Do

Identify components of insurance costs and estimate the expected values by risk.
Identify data sources, build necessary data queries using SQL/ETL queries, and verify data quality.
Apply data science tools and various statistical techniques such as regression, decision trees and neural networks to build, validate, and implement models for solving business problems.
Monitor existing models and processes to ensure performance and data quality.
Estimate the economic impact of operational decisions.
Lead analysis of business data to provide insights and business recommendations.
Lead analysis of business strategies to measure overall effectiveness.
Manage multiple modeling and statistical projects, including timelines, personnel, and communication with project sponsors.

What It Takes

Masters Degree or equivalent work experience.
Experience in the insurance industry preferred.
Excellent written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels.
Demonstrated proficiency in statistical software tools such as Python, R, or SAS.
Knowledge of data extraction, validation, and practical application of statistical modeling techniques.
PhD or Masters in applied math, statistics, operations research, economics, finance, or related quantitative field preferred.

What You’ll Receive

At Sentry, your total rewards go beyond competitive compensation. Below are some benefits and perks that you’ll receive.

Sentry is happy to offer flexibility through a scheduled Hybrid work model. Monday and Friday work from home if you choose to, Tuesday through Thursday in office.
- As a Sentry associate, you will have an in-office workspace and materials for your home office. In addition to the laptop, you will receive prior to your start, Sentry will provide equipment for your home office.
Meal Subsidy available for associates who report to an office.
401(K) plan with a dollar for dollar match on your first eight percent, plus immediate vesting to help strengthen your financial future.
Continue your education and career development through Sentry University (SentryU) and utilize our Tuition Reimbursement program
Generous Paid-Time Off plan for you to enjoy time out of the office as well as Volunteer-Time off
Group Medical, Dental, Vision, Life insurance, Parental leave, and our Health and Wellness benefits to encourage a healthy lifestyle.
Well-being and Employee Assistance programs
Sentry Foundation gift matching program to encourage charitable giving.

About Sentry

We take great pride in making Forbes’ list of America’s Best Midsize Employers. A lot of different factors go into that honor, many of which contribute to your job satisfaction.

Our bright future is built on a long track record of success. We got our start in 1904 and have been helping businesses succeed and protect their futures ever since. Because of the trust placed in us, we’re one of the largest and financially strongest mutual insurance companies in the United States. We’re rated A+ by A.M. Best, the industry's leading rating authority.

Our headquarters is in Stevens Point, Wisconsin, with offices located throughout the United States. From sales to claims, and information technology to marketing, we enjoy a rewarding and challenging work environment with opportunities for ongoing professional development and growth.

Get ready to own your future at Sentry. Opportunities await!

Casey Van Der Geest

Casey.VanDerGeest@sentry.com

Equal Employment Opportunity

Sentry is an Equal Opportunity Employer. It is our policy that there be no discrimination in employment based on race, color, national origin, religion, sex, disability, age, marital status, or sexual orientation.

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The Community You Will Join:

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

Airbnb is seeking a Senior Manager, Advanced Analytics, Growth to lead a talented team of Advanced Analysts. This individual will report directly to the Head of Advanced Analytics and Data Science, and play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving marketing and product decisions across growth marketing.

A Typical Day:

Lead and develop a high-performing team of product and marketing analysts, fostering a culture of agility and growth.
Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
Design and build metrics / dimensions to monitor product and business performance.
Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.Work cross-functionally with Strategic Finance, Data and Analytics Engineering, and Data Science teams to ensure alignment and leverage synergies.
Manage senior stakeholder relationships, ensuring clarity of communication and strategic alignment on analytics initiatives.

Your Expertise:

A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 12+ years of industry experience in a Data Science, Analytics, or equivalent role and 8+ years of management experience, with a proven track record of team development.Provide specific years of experience instead of range (i.e. 8 + years instead of 8-10+ years)
Prior experience in data science, marketing science, product analytics within a marketplace
Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs
Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

Your Location:

Our Commitment To Inclusion & Belonging:

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Pay Range$208,000—$260,000 USD","hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Sales Operations Advanced Analytics Lead","datePosted":"2025-08-14","description":"

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo is looking for a Senior Advanced Analyst / Data Scientist to join our Sales Operations team. The successful candidate will leverage their quantitative and technical skillset, analyze data and build customer journey, archetype and maturity models, and partner closely with Go-to-Market leadership. This role will have a meaningful impact via developing and maintaining models and delivering data driven insights, analyzing prospect and customer behavior & business drivers, and developing strategies and solutions to drive results in support of Klaviyo’s growth objectives.

A successful candidate will be instrumental in driving greater insight into prospect and customer buying signals and purchase behavior, operationalizing the design of various sales strategies into actionable data sets, and clearly communicating complex data insights to non-technical stakeholders, all leading to improved sales strategies and greater growth outcomes for Klaivyo. The ideal candidate is intellectually curious, strategically and analytically minded, proactive in seeking solutions to challenging problems, and highly focused on solving problems for our customers by leveraging data science methodologies. This role requires a blend of analytical skills with a strategic mindset and a proven ability to communicate effectively with senior leadership.

How you will make a difference:

Collaborate with senior leaders across Go-To-Market operations and the Sales team to drive strategic analytics and support Global initiatives that shape the growth trajectory of Klaviyo.
Determine appropriate modeling methodology, and subsequently build, train, deploy, and maintain predictive models (e.g., build model drift monitoring) that can proactively identify prospect/customer opportunities and drive customer success.
Own and develop reporting and analytics resources, identify and create new benchmarks and metrics that drive success, and tell data driven stories about the health of Klaviyo’s customers.
Scope and plan end-to-end advanced analytics projects by identifying the business problem, leading exploratory data analysis, determining critical key performance indicators (KPIs) and implementing data-based solutions for appropriate business stakeholders.
Dissect trends, quantify opportunities, and undertake market and prospect/customer analytics to support business planning & strategic decision making within Sales.
Convey findings in a cohesive story, including summarizing insights from analyses, identifying next steps and providing recommendations.
Collaborate with cross-functional teams across disciplines such as Sales/Marketing/Partner Operations, Product, Business Intelligence, Data Science and Finance, incorporating Global input and driving Global alignment on initiatives.

Who you are:

You have 5+ years of professional experience in an advanced analytics or data science role; prior experience with SaaS an advantage.
You have experience working with various supervised (e.g., regression, classification, decision trees) and unsupervised (clustering, principal component analysis, anomaly detection) data science modeling techniques to drive business decision making and outcomes.
You possess advanced experience working with Python, SQL R, DBT, Github, and Excel to support operating efficiently and developing solutions at scale.
You have experience modeling within Python packages (e.g., pandas, numpy, scikit-learn, xgboost, statsmodels) and building data visualization across various platforms (e.g., Tableau, Thoughtspot, matplotlib, seaborn, ggplot2, plotly, shiny).
You have well developed communication and organizational skills, a demonstrated ability working cross functionally to partner with Senior Business leaders, experience operating to a roadmap, managing projects and setting clear milestones and deliverables, and experience preparing materials for an executive audience.
You balance attention to detail with swift execution, taking ownership and delivering work products in a timely manner to drive outcomes .
You are comfortable operating autonomously with a bias towards action, learning and constant iteration.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

\n\n

Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Please visit Klaviyo Rewards to find out more about our Total Rewards package.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:$124,000—$186,000 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

\n\n\n\n\n\n\n\n\n\n\n\nIMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\n \nBy clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).","hiringOrganization":{"@type":"Organization","name":"Klaviyo","sameAs":"https://www.klaviyo.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Sales Operations Advanced Analytics Lead","datePosted":"2025-08-14","description":"

How you will make a difference:

Collaborate with senior leaders across Go-To-Market operations and the Sales team to drive strategic analytics and support Global initiatives that shape the growth trajectory of Klaviyo.
Determine appropriate modeling methodology, and subsequently build, train, deploy, and maintain predictive models (e.g., build model drift monitoring) that can proactively identify prospect/customer opportunities and drive customer success.
Own and develop reporting and analytics resources, identify and create new benchmarks and metrics that drive success, and tell data driven stories about the health of Klaviyo’s customers.
Scope and plan end-to-end advanced analytics projects by identifying the business problem, leading exploratory data analysis, determining critical key performance indicators (KPIs) and implementing data-based solutions for appropriate business stakeholders.
Dissect trends, quantify opportunities, and undertake market and prospect/customer analytics to support business planning & strategic decision making within Sales.
Convey findings in a cohesive story, including summarizing insights from analyses, identifying next steps and providing recommendations.
Collaborate with cross-functional teams across disciplines such as Sales/Marketing/Partner Operations, Product, Business Intelligence, Data Science and Finance, incorporating Global input and driving Global alignment on initiatives.

Who you are:

You have 5+ years of professional experience in an advanced analytics or data science role; prior experience with SaaS an advantage.
You have experience working with various supervised (e.g., regression, classification, decision trees) and unsupervised (clustering, principal component analysis, anomaly detection) data science modeling techniques to drive business decision making and outcomes.
You possess advanced experience working with Python, SQL R, DBT, Github, and Excel to support operating efficiently and developing solutions at scale.
You have experience modeling within Python packages (e.g., pandas, numpy, scikit-learn, xgboost, statsmodels) and building data visualization across various platforms (e.g., Tableau, Thoughtspot, matplotlib, seaborn, ggplot2, plotly, shiny).
You have well developed communication and organizational skills, a demonstrated ability working cross functionally to partner with Senior Business leaders, experience operating to a roadmap, managing projects and setting clear milestones and deliverables, and experience preparing materials for an executive audience.
You balance attention to detail with swift execution, taking ownership and delivering work products in a timely manner to drive outcomes .
You are comfortable operating autonomously with a bias towards action, learning and constant iteration.

Please see the independent bias audit report covering our use of Covey here

\n\n

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:$124,000—$186,000 USD

Get to Know Klaviyo

\n\n\n\n\n\n\n\n\n\n\n\nIMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.\n \nBy clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).","hiringOrganization":{"@type":"Organization","name":"Klaviyo","sameAs":"https://www.klaviyo.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Manager – Fraud & Scams Advanced Analytics","datePosted":"2025-08-13","description":"

Advanced Analytics Manager

Join our dynamic team at the Commonwealth Bank of Australia, where we are committed to safeguarding our customers and organisation against both fraud and scams. We are at the forefront of implementing innovative solutions to address the challenges posed by fraudsters and scammers alike, in line with the new Scam Prevention Framework Bill passed by the Australian Government.

Role Overview
We are seeking a highly skilled Manager in Advanced Analytics to lead our efforts in both fraud and scam prevention. This role is pivotal in managing key stakeholders and portfolios, ensuring alignment with strategic objectives and compliance with regulatory requirements.

Why join us?

Innovative Environment: Join a community of passionate analysts who leverage data to develop and enhance the Group’s detection systems, algorithms, and reporting engines for both fraud and scams.
Collaborative Culture: Our team's diverse backgrounds allow us to draw on each other's experiences, fostering a collaborative environment where the best ideas thrive.
Impactful Work: Your contributions will directly protect our customers and their assets, making a real difference in the fight against both fraud and scams.
Work-Life Balance: We offer flexible working arrangements and support for work-life balance, ensuring you can thrive both personally and professionally.

Join our dynamic team and make a real impact by

Proactively Identifying Trends: Be at the forefront of detecting and combating emerging patterns in both fraud and scams, ensuring our customers and assets are protected.
Innovative Rule Development: Analyse fraud and scam activities to craft new rules that prevent similar incidents, staying one step ahead of perpetrators.
Optimising Detection Systems: Maintain and enhance our detection rule suite, supporting the Group Security Fraud & Scams Response Center with effective alert management and minimising false positives.
Driving Continuous Improvement: Seek out and implement opportunities to enhance our processes, driving efficiency and excellence.
Data-Driven Decision Making: Perform comprehensive data analysis to inform and support critical business decisions, ensuring we stay ahead in the fight against fraud and scams.

Your responsibilities:

Innovating Detection Systems: Continuously improve detection system rules to ensure maximum detection of both fraud and scams while keeping false positives and detection alert volumes low.
Enhancing Customer Experience: Ensure detection system rules do not negatively impact customer experience.
Uncovering Insights: Provide valuable insights into trends and anomalies through root cause analysis.
Building Relationships: Foster effective working relationships with stakeholders to drive collaborative success.

We are interested in hearing from people who are:

We’re interested in hearing from people who might not meet all the following criteria. We’re open to working with the right candidate to fill any skill gaps during your journey at CommBank.

Analytical Mindset: Ability to solve problems creatively and think analytically.
Understanding Fraudster and Scammer Behaviour: Insight into the psychology of fraudsters and scammers to improve detection rules.
Programming Knowledge: Proficiency in programming - SQL, Python, SAS preferred.
Proactive Problem-Solving: Ability to suggest and implement practical actions to address emerging trends with tangible outcomes.
Collaborative Spirit: Ability to work effectively within the analytics community and with stakeholders.
Educational Background: A degree in a quantitative discipline such as advanced analytics, mathematics, statistics, computing, science, engineering, or actuarial studies.
Nice to Have: Experience with Snowflake, SageMaker (AWS), Jupyter Notebook, VS Code, advanced analytics and data modelling.

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

If this sounds like you, apply now!

Advertising End Date: 26/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Product Manager, Advanced Analytics","datePosted":"2025-08-21","description":"

About the Role:

Sigma is a next-generation business intelligence, data exploration, and application-building platform that is changing the analytics landscape. It offers a spreadsheet-like interface that enables all decision makers to securely analyze billions of rows of live data with the unlimited scale and speed of the cloud. With Sigma, everyone can quickly answer their own questions to make and visualize accurate, data-driven decisions.

As the Product team grows, we’re looking to bring on a Senior PM to lead our Query Languages and Visualizations. Query Languages and Visualizations are a critical part of Sigma’s Enterprise strategy and our overall vision for the product, and will receive executive-level exposure on Day 1. This role provides the perfect opportunity to join a successful, rapidly scaling growth company on one of the most pivotal teams in the Product org.

What You Will Be Doing:

Set the 12-18 month vision for Languages (Python and SQL) and Visualizations at Sigma, secure buy-in from the executive team, and champion your vision across the company
Develop end-to-end product strategy to achieve significant growth in the $30B Enterprise BI market
Develop a rich, reliable and actionable understanding of the target user types by working directly with the Sigma customer base–and incorporate that understanding to deliver product experiences
Drive the product roadmap to deliver a world-class data modeling experience
Partner across all functions (Product, Design, Engineering, Analytics, Customer Success, Sales and Marketing) to deliver coordinated GTM efforts
Work with team, to iteratively define, build, test, and launch features

We’re Looking for Someone Who Has:

3-5 years of Product Management experience with a focus on data, analytics, business intelligence, and/or data science
Experience with data analysis libraries such as Pandas, NumPy, Plotly/Matplotlib, Seaborn and data visualization libraries such as D3, Vega, Highcharts, etc.
Familiarity with Jupyter/Colab-style workflows: understands how analysts use cells, outputs, and visualizations. Basic knowledge of Python sandboxing (e.g., exec(), dependency isolation, timeouts).
Served as “the face” of a large project or initiative within their company. They’re able to communicate well to the broader organization; setting a compelling vision and with a talent for precise articulations of customer problems
Demonstrated experience shipping customer-facing features and achieving target business objectives and metrics
A bias towards Outcomes over Outputs (we care about moving the needle on important business metrics, not about shipping as many things as possible)
Experience working collaboratively with engineering and design counterparts. At Sigma, PMs are part of a 3-legged stool, they drive through influence, not authority
Experience working with notebook tools such as Jupyter, Google Colab, Hex, Databricks Notebooks, etc.

Compensation:

The base salary range for this position is $180k - $230k annually, plus competitive equity and benefits packages.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

Benefits For Our Full-Time Employees:

Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

","hiringOrganization":{"@type":"Organization","name":"Sigma Computing","sameAs":"https://www.sigmacomputing.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Chapter Lead RBS Data Advanced Analytics","datePosted":"2025-07-16","description":"

You are a curious and enthusiastic individual that loves data and advanced analytics, with a passion for people that matches your passion for numbers.
We are a values-driven team of analytical techsperts, who believe in the power of proof, supporting growth and getting excited over data storytelling.
Together we can harness the power of data, advanced analytics and technology to identify solutions for our customers and communities to improve their financial wellbeing and really make a difference

See yourself in our team

This role sits in the Retail Advanced Analytics & Data (RAAD) Chapter Area and would focus on Insights, Advanced Analytics and Reporting. You will report into the Chapter Area Lead Retail Advanced Analytics & Data. As part of PACE way of working and scale agile, you will be working in a crew in the Retail Bank and your team distributed across squads in the crew. There are various roles available in Home Buying and Consumer Finance with permanent and secondment opportunities.

People leadership, building analytics capability and development of Chapter members, and also delivering work as a squad member (staying ‘on the tools’) would be key to the success of this role. The Chapter Lead leads the chapter and develops the capability of individuals in a chapter instance, manages performance and talent processes in addition to performing work in the Squad or CoE.

On a day to day basis, you’ll:

Explore and define analytics solutions and capability uplift for the Crew and the relevant domain in collaboration with Product Owners and Value Stream leads. Be a thought leader when it comes to using advanced and emerging analytics technique to drive business insights including reporting.
Deliver Crew / CoE outcomes within the squad, and RAAD outcomes to improve the craft and people experience.
Provide people leadership and management including onboarding, hiring, skill building, career development, coaching, performance management and individual and team engagements for Chapter members, in line with guidance from the Chapter Area and / or Practice.
Implement and support consistent ways of working across the Chapter, in particular driving culture of continuous improvement and sustainable solutions to deliver business and customer outcomes. Setting clear expectations on the guardrails and standards to be applied as defined by the Chapter Area and / or Practice.
Contribute to the uplift of the Chapters analytics maturity through SME knowledge and by driving and fostering collaboration across Chapter instances to create a growth mindset culture of sharing, learning and problem solving.
Seeks data and feedback to inform metrics and leverages these to support continuous improvement efforts, in partnership with the Chapter Area Lead
Participates and contributes to the Data Analytics Practice and / or Chapter including maintaining technical experience commensurate with their specific Chapter
Excellent stakeholder and collaboration skills to ensure the data and analytical solutions are driving incremental value to supporting business strategy. Overcome blockers and facilitate the constructive resolution of conflicts which may arise both internally & externally to the Chapter.

We’re interested in hearing from people who

Have experience working in a role involving leadership, data analysis, insights and analytics within financial services and strong business acumen in retail credit products
Are passionate about leading people to become the best they can be
Possess exceptional communication, stakeholder engagement and presentation skills
Have the ability to understand corporate frameworks and a keen eye for deriving value from data
Demonstrated Insights, Advanced Analytics or Data Science background
Advanced SQL or python experience working on Teradata or another similar database
Hands on knowledge of BI Tools, such as Tableau or Power BI.
Experience with automation and cloud platform and apps is well regarded

If this sounds like you, then apply today!

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.

Advertising End Date: 25/07/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Chapter Lead RBS Data & Advanced Analytics","datePosted":"2025-08-05","description":"

Organization:

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.

Job Title: Chapter Lead RBS Data & Advanced Analytics

Location: Bangalore

Business and Team :

Impact and Contribution:

Roles & Responsibilities:

Explore and define analytics solutions and capability uplift for the Crew and the relevant domain in collaboration with Product Owners and Value Stream leads. Be a thought leader when it comes to using advanced and emerging analytics technique to drive business insights including reporting.
Deliver Crew / CoE outcomes within the squad, and RAAD outcomes to improve the craft and people experience.
Provide people leadership and management including onboarding, hiring, skill building, career development, coaching, performance management and individual and team engagements for Chapter members, in line with guidance from the Chapter Area and / or Practice.
Implement and support consistent ways of working across the Chapter, in particular driving culture of continuous improvement and sustainable solutions to deliver business and customer outcomes. Setting clear expectations on the guardrails and standards to be applied as defined by the Chapter Area and / or Practice.
Contribute to the uplift of the Chapters analytics maturity through SME knowledge and by driving and fostering collaboration across Chapter instances to create a growth mindset culture of sharing, learning and problem solving.
Seeks data and feedback to inform metrics and leverages these to support continuous improvement efforts, in partnership with the Chapter Area Lead
Participates and contributes to the Data Analytics Practice and / or Chapter including maintaining technical experience commensurate with their specific Chapter
Excellent stakeholder and collaboration skills to ensure the data and analytical solutions are driving incremental value to supporting business strategy. Overcome blockers and facilitate the constructive resolution of conflicts which may arise both internally & externally to the Chapter.

Essential Skills :

Experience : 12 to 15 years
Have experience working in a role involving leadership, data analysis, insights and analytics within financial services and strong business acumen in retail credit products
Are passionate about leading people to become the best they can be
Possess exceptional communication, stakeholder engagement and presentation skills
Have the ability to understand corporate frameworks and a keen eye for deriving value from data
Demonstrated Insights, Advanced Analytics or Data Science background
Advanced SQL or python experience working on Teradata or another similar database
Hands on knowledge of BI Tools, such as Tableau or Power BI.
Experience with automation and cloud platform and apps is well regarded

Education Qualifications:

Bachelor’s degree in Engineering Or Master’s degree in Computer Science.

Advertising End Date: 28/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Manyata Tech Park Road, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Sr Revenue Operations Manager - Advanced Analytics","datePosted":"2025-08-15","description":"

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

CoreWeave powers the creation and delivery of the intelligence that drives innovation.

About the Role

CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry's fastest and most flexible infrastructure. With explosive growth and a recent IPO, we're in the midst of scaling our Go-To-Market operations to support our next stage of expansion. As a Senior Revenue Operations Manager for Advanced Analytics, you'll play a critical role in advancing our GTM engine, focusing on revenue analyses, forecasting precision, and building a data-driven revenue organization.

You’ll partner closely with cross-functional leaders across Sales, Marketing, Finance, Solutions Architecture, and Data Engineering to drive actionable insights, optimize pipeline performance, and strengthen revenue predictability. This role is ideal for someone who thrives on building from scratch, influencing strategy through data, and loves working on project-based initiatives that have high organizational impact.

What You’ll Do

Evolve CoreWeave’s forecasting frameworks—developing predictive, scalable, and trustworthy revenue and pipeline forecasting processes
Architect and automate dashboards, models, and reporting packages to drive insights across pipeline health, rep productivity, attainment, sales efficiency
Own analytics across key GTM metrics including bookings, pipeline generation, funnel conversion, and sales velocity, transforming trends into strategic actions
Design and maintain scalable territory, quota, and capacity planning infrastructure to enable annual and quarterly planning cycles
Build visibility into the joint pipeline and possible cross selling opportunities between CoreWeave and Weights & Biases (acquired May 2025), maximizing revenue and informing our integration strategy
Champion data hygiene and pipeline integrity in Salesforce, driving adoption and accountability across Sales leadership
Lead special cross-functional RevOps projects (e.g., pricing impact analysis, channel sales support, partner GTM modeling, etc.)
Translate complex analysis into crisp, visually compelling executive-level summaries and dashboards

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Need

6–8+ years in Revenue Operations, Strategy, or Sales Analytics roles at high-growth B2B SaaS, Cloud, or Infrastructure companies
Deep analytical expertise with strong Excel and BI tool proficiency (e.g., Tableau, Mosaic, Looker, etc.)
Experience owning end-to-end revenue forecasting and analytics processes, with demonstrated impact on GTM outcomes
Advanced understanding of sales lifecycle metrics (pipeline coverage, conversion rates, rep performance, etc.)
Excellent business judgment and communication skills—able to influence across cross-functional teams with data-driven insights
Experience building from scratch—new forecasting models, dashboards, or operational processes—with scalability in mind
Proactive problem-solver who thrives in fast-paced environments and can context-switch between strategic and tactical initiatives
Strong Salesforce reporting skills and understanding of GTM systems integrations
Ability to distill complexity into clear recommendations, both visually and verbally

Nice-to-Haves

Functional knowledge of SQL and experience architecting self-serve analytics environments
Experience working in high-growth or startup environments
Background in strategy consulting, investment banking, or private equity (with focus on SaaS or Cloud)
Salesforce Admin certification or hands-on admin-level expertise
Experience managing or scaling RevOps infrastructure to support $100M+ revenue scale

The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

","hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ/New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Advanced Analytics Manager, Digital Fraud & Scams","datePosted":"2025-08-12","description":"

Advanced Analytics Manager, Digital Fraud & Scams

Why join us?

Innovative Environment: Join a community of passionate analysts who leverage data to develop and enhance the Group’s detection systems, algorithms, and reporting engines for both fraud and scams.
Collaborative Culture: Our team's diverse backgrounds allow us to draw on each other's experiences, fostering a collaborative environment where the best ideas thrive.
Impactful Work: Your contributions will directly protect our customers and their assets, making a real difference in the fight against both fraud and scams.
Work-Life Balance: We offer flexible working arrangements and support for work-life balance, ensuring you can thrive both personally and professionally.

Join our dynamic team and make a real impact by

Proactively Identifying Trends: Be at the forefront of detecting and combating emerging patterns in both fraud and scams, ensuring our customers and assets are protected.
Innovative Rule Development: Analyse fraud and scam activities to craft new rules that prevent similar incidents, staying one step ahead of perpetrators.
Optimising Detection Systems: Maintain and enhance our detection rule suite, supporting the Group Security Fraud & Scams Response Center with effective alert management and minimising false positives.
Driving Continuous Improvement: Seek out and implement opportunities to enhance our processes, driving efficiency and excellence.
Data-Driven Decision Making: Perform comprehensive data analysis to inform and support critical business decisions, ensuring we stay ahead in the fight against fraud and scams.

Your responsibilities:

Innovating Detection Systems: Continuously improve detection system rules to ensure maximum detection of both fraud and scams while keeping false positives and detection alert volumes low.
Enhancing Customer Experience: Ensure detection system rules do not negatively impact customer experience.
Uncovering Insights: Provide valuable insights into trends and anomalies through root cause analysis.
Building Relationships: Foster effective working relationships with stakeholders to drive collaborative success.

We are interested in hearing from people who are:

We’re interested in hearing from people who might not meet all the following criteria. We’re open to working with the right candidate to fill any skill gaps during your journey at CommBank.

Analytical Mindset: Ability to solve problems creatively and think analytically.
Understanding Fraudster and Scammer Behaviour: Insight into the psychology of fraudsters and scammers to improve detection rules.
Programming Knowledge: Proficiency in programming - SQL, Python, SAS preferred.
Proactive Problem-Solving: Ability to suggest and implement practical actions to address emerging trends with tangible outcomes.
Collaborative Spirit: Ability to work effectively within the analytics community and with stakeholders.
Educational Background: A degree in a quantitative discipline such as advanced analytics, mathematics, statistics, computing, science, engineering, or actuarial studies.
Nice to Have: Experience with Snowflake, SageMaker (AWS), Jupyter Notebook, VS Code, advanced analytics and data modelling.

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

If this sounds like you, apply now!

Advertising End Date: 25/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Chapter Lead RBS Data Advanced Analytics","datePosted":"2025-08-19","description":"

12-month Secondment

You are a curious and enthusiastic individual that loves data and advanced analytics, with a passion for people that matches your passion for numbers.
We are a values-driven team of analytical techsperts, who believe in the power of proof, supporting growth and getting excited over data storytelling.
Together we can harness the power of data, advanced analytics and technology to identify solutions for our customers and communities to improve their financial wellbeing and really make a difference.

See yourself in our team

This role sits in the Retail Advanced Analytics & Data (RAAD) Chapter Area and would focus on Insights, Advanced Analytics and Reporting in Home Buying Domain. You will report into the Chapter Area Lead Retail Advanced Analytics & Data.

People leadership, building capability and development of Chapter members, and delivering work as a squad member (staying ‘on the tools’) would be key to the success of this role.

The Chapter Lead leads the chapter and develops the capability of individuals in a chapter instance, manages performance and talent processes in addition to performing work in the Squad or CoE.

On a day to day basis, you’ll:

Deliver Crew / CoE outcomes within the squad they are assigned to.
Facilitate the constructive resolution of conflicts which may arise both internally & externally to the Chapter.
Provide people leadership and management including onboarding, hiring, skill building, career development, coaching, performance management and individual and team engagements for Chapter members, in line with guidance from the Chapter Area and / or Practice.
Implements and supports consistent ways of working across the Chapter.
Sets clear expectations on the guardrails and standards to be applied as defined by the Chapter Area and / or Practice.
Contributes to the uplift of the Chapters maturity through SME knowledge and by driving and fostering collaboration across Chapter instances to create a culture of sharing, learning and problem solving
Seeks data and feedback to inform metrics and leverages these to support continuous improvement efforts, in partnership with the Chapter Area Lead
Participates and contributes to the Data Analytics Practice and / or Chapter including maintaining technical experience commensurate with their specific Chapter

We’re interested in hearing from people who

Are passionate about leading people to become the best they can be
Have a background in Home Buying Analytics with strong business acumen
Possess exceptional communication, stakeholder engagement and presentation skills
Have the ability to understand corporate frameworks and a keen eye for deriving value from data
Demonstrated Insights, Analytics or Data Science background
Experience in analytics involving risk, exception reporting and controls would be highly regarded

If this sounds like you then apply today!

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.

Advertising End Date: 25/08/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank of Australia","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Product Owner - Advanced Analytics for Commercial Domain","datePosted":"2025-08-04","description":"

JOB DESCRIPTION:

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Abbott Established Pharmaceutical Division (EPD) is looking for a

Product Owner - Advanced Analytics for Commercial Domain

for its global Pharma Division Headquarter based in Allschwil- Basel.

Primary Job Function:

The central Advanced Analytics team at Abbott Established Pharma Division’s (EPD) headquarters in Basel is a driving force behind our journey to become a global, data-driven organization. We harness data and advanced technologies like Machine Learning, AI and Generative AI to foster innovation that sets us apart in the industry. Advanced Analytics is our compass for achieving present and future business targets, securing sustainable revenue growth at optimal margins. Situated within EPD's Strategy Management Office, the central AA team forms a strategic nexus with the EPD Senior Leadership Team.

Join our team as a Product Owner for Advanced Analytics – Commercial and embark on a transformative journey that leverages modern data technologies to shape the future of our business. Collaborating closely with influential stakeholders including Commercial Excellence, Commercial Regions and Affiliates, and Finance the Product Owner will craft strategies that reframe our approach to overcoming business challenges.

Core Job Responsibilities:

Role consists of three capabilities mainly, which make core job responsibilities.

Driving Transformation and Innovation (25%)

Collaborate with business units, data scientists, and other stakeholders to gain a comprehensive view of challenges and opportunities.
Lead end-to-end problem definition and recommend impactful machine learning, AI or GenAI solutions, emphasizing their integration for maximum effectiveness.
Develop and execute strategic communication and engagement plans to foster awareness, understanding, and buy-in for Advanced Analytics initiatives across the global EPD community in alignment with the direct supervisor.
Champion the development of essential capabilities to empower our workforce to embrace the data-driven culture.
Identify and link Machine Learning, AI and GenAI opportunities to strategic EPD priorities and business KPIs.
Support the definition of the budget and resources needed to execute an AA/AI project in conjunction with the AA team and the business stakeholders.
Ensure adoption for Advanced Analytical solutions.
Accountable for Product Vision, Project Management, and Sprint Execution.
Drive adherence to project standards and documentation.
Understand the project portfolio with clear focus on the commercial initiatives and how it serves the overall EPD AA Roadmap.

Strategic Stakeholder Collaboration (25%)

Take ownership of stakeholder relations within the Commercial area, ensuring alignment with AA opportunities, scope, and roadmap in conjunction with the direct supervisor.
Employ structured governance to project portfolios, ensuring transparency and alignment with overarching business goals.
Lead project planning, track deliveries, facilitate open communication through workshops, and guide stakeholders toward a future of data-driven decision-making with the support of the direct supervisor.
Prepare and lead project SteerCo and Executive Board meetings.
Coaching stakeholders across functions to navigate confidently in a machine learning and data-centric environment.
Identify key stakeholders and SME to support and sponsor the projects execution and the solution adoption with the support of the direct supervisor.

Empowering ML, AI and GenAI solution Delivery (50%)

Lead the Data Science and Data Engineering project teams, adopting agile methodologies to drive Advanced Analytical Solutions.
Collaborate seamlessly with cross-functional teams to define and manage Risks, Assumptions, Issues, and Dependencies (RAID) logs, actively pursuing resolutions.
Ensure timely delivery of projects by maintaining a clear focus on milestones and objectives.
Understand of AA, AI and GenAI product life cycle incl. ability to identify best fit Advanced Analytical / AI solution approach for a given business problem.
Understand analytical effort to business problem / impact.
Work towards effective collaborations with internal and external teams to achieve project deliverables.
Define user-journeys together with Business stakeholders.

Minimum Education:

Relevant degree in technology, mathematics, science, or business, reflecting a proven ability to communicate modern data technologies within international organizations.

Minimum Experience/Training Required:

4-5 years of product owner experience, blending Advanced Analytics solutions with change management and capability building in medium and large organizations.
Showcase a history of leadership in successfully delivering machine learning and data science projects for a minimum of 4 years.
Possess consulting and change management experience, highly valuable assets that amplify your potential to drive transformation.
Display a solid understanding of advanced analytics and machine learning applications, demonstrating their customized application in organizations like Abbott EPD.
Present hands-on product ownership acumen within the analytics solution domain.
Exhibit exceptional communication skills, capable of effectively engaging senior executives and stakeholders from diverse functions, illuminating the significance of advanced analytics and modern data technologies.
Demonstrate prowess in forming partnerships across departments, even with remote teams.
Show proficiency in planning, emphasizing clear milestones, meticulous documentation, and proficiency in tools such as JIRA/Confluence and Microsoft Teams.
Possess a comprehensive grasp of the Software Development Life Cycle, data analytics, cloud technologies, machine learning, and end-to-end data pipelines.
Be a proven contributor to digital transformation within a corporate landscape, excelling in a multicultural setting with a sensitivity to diverse backgrounds.
Exhibit a self-driven disposition, adept at managing dynamic tasks and priorities while consistently delivering high-quality results.
Exude a strong team-player mentality, capable of rallying individuals toward shared objectives and making Advanced Analytics accessible to a broad spectrum of stakeholders.
Fluent in English, with additional languages offering a distinctive advantage.

Do you like the sound of this job and think you’ve got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.

(If you want to upload several documents, don`t save in between uploading them to be able to do so. Once you save your uploads, you will not be able to add more documents)

The base pay for this position is

N/A

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Project Management

DIVISION:

EPD Established Pharma

LOCATION:

Switzerland > Allschwil : H-127

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Not specified

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Not Applicable

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\n \n\n At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.\n \n\n
\n \n

BECOME PART OF OUR TEAM!

Our Finance Analytics team develops scalable solutions for Finance & Controlling at Daimler Trucks & Buses with the goal of enabling data-driven decisions and increasing process automation. We employ Artificial Intelligence to analyze large and complex datasets, derive forecasts for key business metrics, and quantify the impact of relevant influencing factors.

Are you passionate about data and eager to apply your skills in a real-world setting? We’re seeking a motivated intern to support our Cash-Flow Analytics project. Within this project, you’ll contribute to scale and further develop our Cash-Flow Forecasting solution to improve the forecasting quality and explainability as well as give steering impulses to our management. As an intern, you’ll collaborate closely with experienced data scientists and business experts. Whether you’re interested in machine learning, statistical analysis, or data visualization, this internship offers a unique opportunity to learn and grow.

WE OFFER YOU

An exciting and varied role in a dynamic environment
The opportunity to independently contribute to projects and bring in your ideas
Attractive compensation and flexible working hours
Insights into the working world of a leading company in the commercial vehicle industry
Participation in and contribution to exciting exchange and networking events within the cross-location Students @ Daimler Truck network

\n\n

WHAT YOU CAN EXPECT

Extract and process data and perform analysis using Excel and Python
Use case professionalization in Microsoft Azure (Data factory & Databricks)
Further development of the Cash-Flow forecasting method
Bring in your knowledge and ideas to setup suitable forecasting models both from a business and data science perspective

THAT’S WHY YOU ARE A MATCH

You study (Business-) mathematics, Physics, Data Science, (Business-) informatics, Economics, Industrial Engineering and Management or comparable studies
Programming skills: R or Python
Experience in data wrangling techniques, statistics and basics in Machine Learning algorithms
Strong Interest in Finance & Controlling
Knowledge of MS-Office tools, in particular, MS Excel
Language skills: English fluent, German basics preferable
Commitment, teamwork and analytical thinking

You don’t bring everything with you? No problem! We look for skills but hire for attitude!

MAKEYOURMOVE and apply now – we‘re looking forward to it!

Additional information:

It doesn’t work completely without formalities. When sending your online application, please attach your CV, an individual letter and any references you may have (max. 5 MB).

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-zentrale-truck@daimlertruck.com

If you have any questions regarding the application process, please contact HR Services by e-mail: hr-service@hr.daimlertruck.com

If you have any questions concerning the position, please contact Mr. Thomas Lohner at the following telephone number +49 176 309 711 53","hiringOrganization":{"@type":"Organization","name":"Daimler Truck","sameAs":"https://www.daimlertruck.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"AVP- Governance - Advanced Analytics & AI (Emiratised Role)","datePosted":"2025-08-21","description":"

Company Description

Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry

Job Description

Job Summary:

For the position of Governance Strategist at our prominent bank, FAB, we are looking for someone with a solid background in data science techniques and governing projects end-to-end.

To support the strategic objectives of the bank, you will inspire and manage the creation of analytical solutions to enable data-driven decision-making on visually appealing and insightful reporting platforms.

You will also create a strategic governance framework to optimize the success of projects and mitigate liabilities.

Responsibilities:

Governance Strategy: -

Maintain and enhance the project governance framework to comply with FAB & CBUAE regulatory requirements, optimize operational efficiency and optimize project success in terms of ROI, KPIs, risk mitigation and stakeholder satisfaction.
Enforce the implementation of this governance framework.
Integrate data and/or projects whenever applicable to further optimize operational efficiency.
Manage a ‘line of defense’ team consisting of a QA/QC Lead, a Compliance & Risk Specialist and a Business Analyst, ensuring seamless collaboration and execution of responsibilities.
Set goals for members of your team and evaluate their performance on a regular basis.
Collaborate with your team in establishing and maintaining a comprehensive model governance framework.
Responsible for effectively implementing the model governance framework and coordinating awareness sessions for the department.
Oversee the BAU tasks of your team, which includes pre-implementation validations and continuous monitoring of models in the areas of regulatory compliance, operational & ethical risks, model quality and financial performance.
Serve as the primary liaison between the line of defense, modelling teams, senior management and cross-functional stakeholders.
Translate your team's Quarterly Status Reports into a dashboard of actionable insights and present them to senior management.
Stay informed of industry trends & emerging technologies and proactively identify opportunities to refine governance processes & tools.

Stakeholder Management: -
Work together with a wide-array of business SMEs in order to assess their analytical needs, suggest creative solutions and agree on use-cases.
Regularly communicate with business SMEs to ensure internal customer satisfaction.
Regularly provide project status updates to senior management.

Technology Evaluation and Innovation: -
Keep up with new developments and trends in data science, reporting platforms, and related fields.
Analyse and suggest new platforms, programs, and tools that will improve the bank's data analytics and reporting capabilities.

Qualifications

A bachelor's or master's degree in STEM or a relevant quantitative field such as economics or finance
Professional Certification in Banking or Project Management is preferred
3+ years of experience in applying data science in a banking industry
A track record of developing high-performing and well-documented technical solutions in a demanding work environment and managing employees to accomplish the same
Familiarity with database technology and languages such as SQL
Proficient in data preparation, statistics and the scientific method
Proficient in Python/R, SAS or other statistical software
Familiarity with data visualization technology such as PowerBI
Familiarity with project governance/management principles and software
Knowledgeable about financial products and banking regulations & processes
Knowledgeable about Customer Relationship Management platforms
Excellent reasoning, creative and problem-solving skills
Excellent communication skills to effectively convey technical concepts to non-technical stakeholders
Excellent organizational & documentation skills

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Business Analyst - Data Science and Advanced Analytics Team – 12 Month FTC

Division – Intelligence & Digital

Department - Advanced Analytics and Data Science Units

Salary - National (Edinburgh and Leeds) ranging from £55,000 to £75,000 and London £60,000 to £80,000 per annum (salary offered will be based on skills and experience)

About the FCA

The FCA regulates the conduct of 45,000 firms in the UK to ensure our financial markets are honest, fair and competitive. Follow this link to find out more About the FCA.

The team

The Advanced Analytics and Data Science Units (AA&DSUs) are a diverse team of data scientists, artificial intelligence (AI) strategists, engineers, change experts, designers and business analysts.

This role forms part of the Business Consulting & Pipeline (BC&P) team which collaborates with the business to discover, scope and design solutions that meet user and business needs. The team also manages the departmental project pipeline to build out the backlog and prioritise resources based on strategic objectives and value.

What will you be doing?

Identifying and shaping opportunities to leverage AI across the FCA.

Designing and facilitating discovery workshops with stakeholders to uncover pain points, map processes, and explore where AI can deliver meaningful solutions.

Translating user challenges into clear functional and non-functional requirements, collaborating with technical teams to co-create AI-enabled solutions.

Managing a pipeline of AI-related initiatives, working closely with data scientists and management to scope, prioritise, and progress projects that offer the greatest value.

Supporting the FCA’s approach to AI adoption by contributing to strategic planning, stakeholder engagement, and recommending high-impact areas to focus on.

Championing business analysis best practice across the department, sharing knowledge and assets.

What will you get from the role?

Being part of the FCA’s cutting-edge AI work, applying technology to real-world regulatory challenges like financial crime and consumer protection.

Hands on experience scoping and delivering experimental, forward-thinking projects.

Collaboration with a diverse, supportive team that values openness, curiosity and shared learning.

Opportunity to develop a unique skill set at the intersection of data, technology and regulation.

Which skills are required?

We are a Disability Confident Employer; therefore, disabled people or individuals with long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. (To learn more about the Disability Confident Scheme Click Here)

Minimum

Experience in a senior business analyst role or a comparable position such as Consultant, Solution/Service Designer, or Product Owner.

Exposure to one or more of the following sectors: Data Science, Advanced Analytics, Technology/IT Consultancy, FinTech, or Innovation.

Experience delivering projects across the full lifecycle, using both waterfall and agile methodologies.

Essential

Solid understanding of core Business Analysis techniques, including user journey mapping, process mapping, requirements gathering, and the ability to design and facilitate collaborative workshops.

Interest or familiarity with artificial intelligence, particularly in areas such as large language models, agentic AI, or prompt engineering.

Strong interpersonal skills with the ability to build and maintain relationships across a diverse range of stakeholders.

Confidence working through complex problems, identifying underlying issues and opportunities for improvement.

A flexible and pragmatic approach, with the ability to manage multiple priorities and make balanced decisions informed by evidence, stakeholder perspectives, and organisational context.

Our Values & Diversity

We are proud to be an inclusive employer and our ambition is to cultivate a culture for all employees that respects their individual strengths, views and experiences. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation and delivers better regulation.

Within the workplace you will have access to various employee resource groups which aim to promote and achieve a healthy work / life balance and support our diversity ambitions.

Did you know? 50% of our Executive Committee were the first in their family to attend university.

Benefits of working at the FCA

25 days holiday per year plus bank holidays

Hybrid working (work from home up to 60% of your time)

Private healthcare with Bupa

A non-contributory Pension of at least 8% of basic salary each month (there are several contribution levels that increase depending on your age – up to 12% a month once you reach age 35)

Life assurance of eight times your basic salary

Income protection

We also have a competitive flexible benefits scheme which gives you the opportunity to create a personalised benefits package, tailored to suit your lifestyle.

We welcome applications from candidates who are looking for flexible arrangements.  Many of our staff work flexibly including working part-time, staggered hours and job shares.  We can’t promise to give you exactly what you want but we can explore what might work best for both sides.

Follow this link to see what life is like at the FCA - Life at the FCA

Application Support

We are dedicated to removing barriers and ensuring our application process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible.

If you have an accessibility need, disability or condition requiring changes to the recruitment process, please contact your recruiter using the details below and they will be happy to discuss this further with you.

Useful Information and Timeline

This role is graded as Senior Associate - Regulatory

Advert Closing Date:  18th August (please submit your application no later than 11.59pm on Sunday 17th August)

CV Review/Shortlist: w/c 18th August

Technical Capability Interview (60 mins): w/c 26th August

Culture Fit Interview (30 mins): w/c 1st September

Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. 

Got a question?

If you are interested in learning more about the role, please contact: 

Recruiter- Sonika.suryadevara@fca.org.uk

Applications must be submitted through our online portal. Applications sent via email will not be accepted.

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Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.

What We Offer

Salary:

$96,000.00 - $132,000.00

Location:

Austin,TX

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

Key Responsibilities

Support GIS and Business intelligence, Big Data and AI/ML personnel that interface with business unit or function customers for the purpose of business technology alignment, solution discovery, and service management.
With supervision, analyzes business requirements and/or issues, converts analysis to functional and technical specifications, and assist in the design and technical development of Business intelligence, big data and AI/ML solutions to meet business requirements. Perform and document software application and technical platform configuration, prepare and execute test scenarios and scripts (unit, integration, performance, regression, acceptance) and data conversions. May participate in new technology evaluations.
With minimal supervision, provides Business Intelligence, big data and AI/ML application and platform support services to meet performance, availability, customer service level agreement, and customer satisfaction targets. Participates in reviewing and monitoring complex production systems to ensure continuous, effective performance; determines modifications as needed. Performs System analysis and debugging of applications and platforms to identify problem root causes. Completes root cause analysis for incidents and outages.
With supervision, Adheres to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls. May manage execution of sox controls and testing, and support internal and external audits.
Participates as a Business intelligence, Big Data or AI/ML application or project team member. With supervision, may manage small continuous improvement projects to ensure effective and efficient execution guardrails of scope, timeline, budget and quality

In order to be considered for this opportunity, you must meet the following minimum criteria:

Must have a minimum of 3 years hands on programming skills with Python AND SQL
Must have strong working knowledge of Tableau
Ideal candidate would have semiconductor experience, but is not required.
Must have demonstrated experience in managing stakeholder communications across cross-functional teams.
Will be responsible for managing pipeline development and data modeling
Must have knowledge in Big Data Technology, for example Spark
Must have experience with large data management.
Must have effective communication skills in order to collaborate with globally diverse teams and to explain technical concepts.
Must be able to accommodate working with a global workforce including flex hours.
Must be located and/or willing to relocate to Austin, TX ; this opportunity does require you to work in the office 5-days a week.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

The Senior Director, APEX (Analytics & Performance Excellence) Advanced Analytics and Enterprise Transformation plays a critical role in shaping the organization's data-driven culture and driving transformative insights to accelerate our growth and ensure our ongoing success. This role is responsible for overseeing the development and execution of data and analytics strategies that inform business decisions and drive significant business value. This individual will develop and execute a strategic vision and provide leadership to teams across U.S. Commercial data management (including governance, operations, and MDM), data strategy and business intelligence, data and analytics products, as well as an innovation hub focused on new data acquisitions and GenAI use cases. By using analytics and data science, this leader will nurture new innovations to support our field teams by balancing design and operational tradeoffs and will stimulate analytical innovation in Field Planning, Field Tools, and Incentive Compensation capabilities. This leader will also head and shape our competitive intelligence organization and lead core capabilities to inform our sales force IC plans and field tools.

Responsibilities:

Lead strategy and execution across Competitive Intelligence, Advanced Analytics & Innovation, Data Transformation, and FPAT center teams, ensuring cohesive delivery of insights, tools, and capabilities.
Oversee the development and integration of capabilities, data infrastructure, and tools and support adoption of solutions by brand teams.
Develop and execute a strategic vision for the Data and Analytics Center of Excellence that aligns with current and future business objectives and drives growth. This includes identifying opportunities for data-driven insights and solutions that build competitive advantage.
Provide strategic direction for the design and implementation of performance analytics frameworks, developing best practices to be used across the enterprise, enabling a consistent approach to measurement of key performance indicators (KPIs) and the generation of actionable insights.
Identify and pilot Future-Fit Technology Solutions that allow more efficient and effective salesforce decisions.
Guide the delivery of field force-specific, business-driving, field planning solutions, field tools, and incentive compensation plans leveraging enterprise best practices and industry benchmarking.
Drive collaboration across many cross-functional and subject matter expert teams while supporting the delivery of field effectiveness resources.

Qualifications

Bachelor's degree in quantitative discipline such as economics, math, computer science, information technology, or related field
15+ years of related professional experience, with 10+ years of experience in data and analytics, with at least 5 years technical experience
Experience in the Pharma industry is required with a strong understanding of data and analytics frameworks and best practices
Knowledge of industry regulations and compliance requirements related to data governance
Excellent collaboration and strategic execution skills, with ability to align with brand teams, manage complex initiatives, and deliver solutions that address brand teams' analytics needs
Strategic leader with expertise in data strategy, measurement, and data science capabilities that can drive scalable innovation, data governance, and cross-functional collaboration/adoption to enable impactful, insight-driven decision making

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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