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

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.

The Senior Business Intelligence Analyst will provide analytical support across various departments, focusing on billing and subscription analytics, to inform decision-making and improve business outcomes through data-driven insights.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

The Senior Data Analyst will conduct analyses, automate reporting, and provide insights to inform strategic decisions and business performance across teams.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.

Work within Deals Tech & Data to build analytics and AI-enabled solutions for M&A and private equity clients. Analyze complex deal data, build scalable data pipelines (e.g., Databricks), develop ML models and apply Generative AI for data extraction and reporting, automate data preparation, visualize insights, mentor junior staff, and communicate solutions to stakeholders to drive transaction and portfolio value.

Lead and scale the People Analytics function by developing global strategy, mentoring the team, partnering with HR and business leaders, and delivering actionable insights. Build reports, dashboards, and prototypes using SQL, Tableau, Workday, and other tools; prioritize rapid iteration, automation, and self-service analytics to influence workforce decisions and drive company-wide change.

Build and lead a customer insights capability: run qualitative and quantitative research (interviews, surveys, VoC), perform segmentation and win/loss analysis, produce executive-ready recommendations and dashboards, partner cross-functionally to drive product, GTM, and operational decisions, and help hire and develop the insights team.

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.