Top Data & Analytics Jobs in San Francisco Bay Area, CA

The Economist will analyze travel and spending data to identify trends, craft insights, and present findings, serving as an economic advisor to leadership.

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

As a Staff Data Analyst, you will leverage extensive datasets to optimize AI products, inform data team strategy, and collaborate on data projects from ingestion to analysis.

Use large healthcare datasets to identify behavioral patterns, build product and client-facing analytics, partner with product and engineering to lead data projects from ingestion through analysis, and help shape data team strategy and recommendations.

Lead insights and data science strategies for the Payer Group at Headway, driving analytics to improve patient outcomes and collaborating with multiple stakeholders.

The Data Analyst will analyze trends, design experiments, maintain dashboards, and enhance game integrity using data-driven insights to improve the player experience.

As a Strategy Insights and Planning Associate, you'll develop solutions for client business problems through research, analysis, and collaboration. You'll leverage analytical skills, conduct market research, and communicate findings effectively.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

Lead analytics initiatives to drive user acquisition, engagement, and retention. Oversee a team of analysts to provide insights and data-driven strategies, working closely with multiple departments.

The Systems Researcher focuses on algorithm development and software engineering, collaborating with computer scientists and data scientists in quantitative equity investment.