Top Analysis Reporting Jobs in San Francisco Bay Area, CA

The Revenue Analytics Manager will analyze customer success and partner analytics, delivering insights to drive retention and revenue growth, working cross functionally with leadership and data teams.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Senior Revenue Accountant will manage sales contracts, ensure compliance with ASC 606, perform deal analysis, and assist with financial reporting and audits.

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

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

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.

Support commercial decision-making by transforming internal and external data into actionable insights. Maintain recurring performance reporting, conduct market and competitive analyses, build dashboards and automations, and produce executive-ready insight summaries to inform pricing, promotion, innovation, and supply chain planning.

Support Middle Market Banking team with credit file management, financial reporting, and compliance tasks, while coordinating with various teams and systems.

The analyst will support portfolio reporting, analysis, and credit monitoring, while assisting senior team members and producing performance reports.

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.