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

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Develop and implement BI solutions using Oracle BI, QlikView, and Spotfire. Build data pipelines, validate data quality, perform analysis, collaborate with stakeholders, support data architecture, and apply economic analysis to inform client strategies.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

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

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.

Build and maintain analytical data models, dashboards, KPIs, and self-serve analytics for Revenue. Partner with Data Engineering and cross-functional teams to enable GTM analytics, forecasting, attribution, data quality, and governance while scaling the analytics function.

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain data quality.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.