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

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

Lead design and execution of Toast's enterprise data governance: define strategy, build governance frameworks, policies, business glossary, Data Governance Council, ensure compliance (GDPR/CCPA/SOC2/PCI-DSS), run maturity assessments, enable data literacy, and grow the governance team to drive adoption across domains.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Drive North America commercial performance insights by translating business questions into data-driven analysis. Deliver reports for QBRs/MBRs, set and track commercial goals, analyze full-funnel performance, enforce global KPI standards, support revenue operations initiatives, and communicate actionable recommendations to regional leaders and cross-functional partners.

Annotate 3D wire spans and flag data errors using internal tools to create high-quality datasets. Work with engineers, QA, and field techs to ensure data integrity, support project priorities, and occasionally operate company vehicles for client tasks.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.

Lead end-to-end design and delivery of analytics solutions that extend the Aladdin platform. Build end-to-end analytical applications using Python, databases and AI; prototype solutions, partner with product and tech teams, influence senior stakeholders, mentor peers, and translate investment challenges into scalable tools for portfolio analysis, sales, and client engagement.