Top Senior Analysis Reporting Jobs in San Francisco Bay Area, CA

Deliver regional commercial performance insights, support goal setting and full-funnel analytics, enforce data governance and global KPI standards, support cross-regional initiatives, and partner with commercial leaders to surface risks, drivers, and actionable recommendations that improve GTM effectiveness.

As a Senior Data Analyst, you'll analyze customer acquisition to inform strategies, partner with teams to improve processes, and enhance data workflows.

The Staff Data Analyst will lead forecasting and performance insights for Chime's growth, collaborating across teams to inform decisions and develop analytics tools.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.