Top Data & Analytics Jobs in San Francisco, CA

Lead a newly formed data engineering team to standardize data practices, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack while balancing people management and technical leadership.

Design, build, and optimize BigQuery-based data models and ETL processes on GCP. Implement BigQuery procedures/functions, manage storage/partitioning/clustering, ensure data quality, collaborate with data scientists and engineers, document designs, and improve data lifecycle and reporting performance.

Lead product analytics end-to-end: define metrics and measurement frameworks, analyze user behavior and product performance, build dashboards and self-service analytics, synthesize internal and market data, and deliver strategic recommendations to influence product roadmap and business outcomes while partnering cross-functionally.

Lead and build a product analytics function, define KPI and instrumentation standards, and deliver self-service analytics using Pendo, BigQuery, and Tableau. Partner across Product, Engineering, Data, and GTM to surface product insights, embed measurement into lifecycle, influence roadmap priorities, and scale AI-powered analytics capabilities while growing a high-performing team.

Design and govern large-scale data architecture (warehouses, lakehouses, streaming), define standards for data quality, modeling, governance, and observability, embed AI/agent workflows, mentor engineers, and influence cross-functional roadmaps to enable scalable, production-grade data and analytics capabilities.