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

Build and operate reliable data systems and products supporting clinical operations, drug evaluation, business development, analytics, machine learning, and AI agents. Responsibilities include designing pipelines, canonical data models, data contracts, warehouse transformations, quality and observability practices, governance for regulated data, and incident response. The role partners closely with Product Engineering and Data Science, uses AI-assisted development, contributes to architecture, and mentors other engineers.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Own front-end tracking, reporting, dashboards, and analytics for marketing websites and growth funnels. Analyze performance, conduct ad hoc investigations, and deliver actionable recommendations to digital and web marketing stakeholders. Lead A/B testing and experimentation, interpret statistical results, support tracking and dashboard documentation, and collaborate with developers and analytics teammates. Translate business questions into technical requirements while helping marketing teams improve leads, pipeline, revenue, and ROI.

Build dimensional data models, SQL-based data pipelines, datasets, dashboards, and data quality tests for Coinbase’s analytics infrastructure. Partner with stakeholders to support self-service analytics, investigate data issues, and use generative AI responsibly to improve development and documentation workflows. This is a 12-week summer 2027 internship with quarterly in-person working sessions.

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

The Analytics Engineer will analyze sales proof-of-concepts and self-service trials, support growth and product-led sales initiatives, and evaluate pricing and monetization strategies. The role partners cross-functionally, models data in dbt, maintains data warehouses and ELT pipelines, experiments with emerging data and AI tools, and trains teammates on effective data workspace practices.

Build and operate production-grade ELT pipelines from Benchling, Salesforce, and third-party systems into Snowflake using dbt. Own ingestion, transformation, warehouse, BI, governance, monitoring, testing, access controls, privacy, cost, and performance. Partner with AI engineering to provide trusted data for internal AI applications and agentic workflows, contribute to warehouse and metrics-layer architecture, and translate cross-functional stakeholder needs into scalable data solutions.

Lead the architecture and development of Vercel’s next-generation data platform, supporting batch and real-time integrations, analytics, data warehousing, and AI/ML workloads. Design scalable systems using Kafka, ClickHouse, Tinybird, and Snowflake; establish data governance and security standards; guide architectural decisions and roadmaps; collaborate with engineering, product, security, compliance, and leadership teams; write production code; and mentor engineers.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

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.