Top Data & Analytics Jobs

The Executive Director leads Global Clinical Pharmacology & Development Technology Solutions, overseeing technology strategy, solution delivery, and team leadership to support R&D initiatives in cancer treatment.

Lead advanced media analytics for HCP and DTC campaigns, integrating healthcare datasets to quantify media impact and connect exposure to business outcomes. Deliver insights through dashboards and presentations while mentoring analysts.

The intern will help modernize analytics infrastructure, automate data workflows, implement version control, and assist in data ETL practices.

Assist in modernizing analytics infrastructure by leveraging APIs, creating Python scripts, and collaborating with visualization analysts. Responsibilities include defining metrics, automating workflows, and developing ETL practices.

Build and maintain cloud cost attribution and cost-of-revenue models, forecast non-accelerator infrastructure demand, define unit cost metrics, surface efficiency opportunities, and create self-serve dashboards and reports to drive capacity planning and cost optimization.

Lead analytics and operations work to ensure data trustworthiness, define standards and acceptance criteria, investigate large datasets for quality and downstream impacts, build automated workflows (including AI-assisted tools), translate findings into narratives for stakeholders and clients, and partner with engineering and product teams to close data reliability gaps and mentor junior analysts.

Work with large datasets to ensure data quality, automate analytics workflows, and produce reliable, consumable insights. Investigate data behavior, communicate findings to technical and non-technical stakeholders, partner with engineering and product teams, and implement automation and AI-assisted tooling to improve accuracy and efficiency.

Lead analytics and optimization for media campaigns, serve as primary client contact for data-driven decisions, design experiments (A/B, incrementality, geo-tests), deliver measurement and reporting, and collaborate with analysts, data scientists, and engineers to optimize multi-channel media performance.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

As a Data Science intern, you will gain hands-on experience in various business areas, complete projects, and participate in professional networking, applying your academic knowledge to real-world scenarios.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

As a Data Science Intern, you will perform exploratory analysis, develop models, and collaborate with experts in data analytics and software development.

Lead design and delivery of Microsoft Fabric-based data pipelines, Lakehouse data models, and ETL in Python. Partner with Finance to translate requirements, ensure data quality, enforce engineering standards, mentor engineers, and produce analytics and reporting (Power BI/Databricks) to support forecasting and profitability analysis.

Lead analytics and data science for underwriting transformation, focusing on forecasting, insights, and metrics for pricing and risk management.