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

Lead market intelligence team to analyze complex data and develop strategies to optimize infrastructure investments and supply chain strategies in AI and cloud contexts.

As a Senior Data Analyst, you'll analyze customer acquisition to inform strategies, partner with teams to improve processes, and enhance data workflows.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

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

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.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.