Top Data & Analytics Jobs in San Francisco, CA

Support sales intelligence by preparing and validating sales data, maintaining dashboards and reports, extracting and transforming data, and translating findings into clear visualizations and insights for stakeholders. Collaborate with analysts and cross-functional teams to prioritize requests and improve data accuracy across the data warehouse and Microsoft Dynamics 365 CRM.

Lead marketing analytics by building AI-powered launch performance frameworks, measuring social content effectiveness, and synthesizing upstream market intelligence. Design and maintain data pipelines and AI tooling, collaborate cross-functionally, and translate analytics into marketing and commercial decisions to accelerate go-to-market outcomes.

Lead the Data Product Coordination function to align stakeholders and delivery teams across business domains. Manage intake, prioritization, governance, KPIs, and orchestration across Data Ingestion, Engineering and Distribution. Build operating models, lead a team of coordinators, drive execution in a matrixed GxP environment, and develop domain expertise in clinical, corporate and commercial systems.

Lead design, build, and scale data automation pipelines, scrapers, APIs, and AI-assisted workflows for newsroom use. Identify and structure high-value public datasets, prototype AI-enabled tools, produce newsroom-ready outputs, troubleshoot systems, document workflows, and mentor journalists to improve automation and editorial impact.

Lead design and build of a new graph-backed enterprise data platform: architect ingestion, ETL/ELT pipelines, entity resolution, graph and relational storage, temporal models, governance, APIs, and containerized deployments. Partner with product and engineering to deliver production-ready graph traversal APIs, connectors, and platform roadmap.

The Director of Research in Power Markets oversees the QA/QC process for long-term price forecasting, advising leadership, ensuring quality control, and representing the company on client calls and market discussions.

Implement, QA, and document tag management across GTM, GA4, pixels, server-side pipelines and Shopify. Translate Figma designs into data layers, collaborate with engineering to ensure event parity, monitor pixel and server-side integrity, support A/B testing event piping, run monthly data audits, enforce consent via OneTrust, and maintain the centralized Solution Design Document.

Implement, QA, and document analytics tags across GTM, GA4, performance pixels, experimentation and server-side pipelines. Translate Figma designs into data-layer specs, collaborate with engineers to ensure tracking parity across web, app and Shopify, maintain pixel integrity for ad optimization, support server-side syncing, run monthly data audits, enforce consent with OneTrust, and contribute to QA and solution design documentation.

The Data Mining Engineer will work on proprietary trading technology, focused on enhancing data mining processes for trading strategies and market analysis.

This role involves developing and implementing data mining techniques to extract business insights, optimize trading strategies, and support trading decisions.