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

The Behavioral Insights Lead - Bitcoin will manage a team analyzing financial patterns and risks in Bitcoin and cryptocurrency, developing ML models to prevent fraud while collaborating with various business functions.

The Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

The Insights Manager will drive data analysis to enhance understanding of merchants, produce actionable insights, and collaborate with sales teams to improve strategies and outcomes.

As a Strategy Insights & Planning Consultant, you'll deliver solutions through market research, data analysis, project execution, and client communication while mentoring junior staff.

The Decision Analytics Consultant leads analytical projects, defining scope, conducting analysis, and synthesizing findings to drive client engagement and business solutions.

The Revenue Analytics Lead will optimize analytics for sales growth, manage forecasts, and drive insights for enhancing sales productivity and customer experience.

The Analyst will support SMA Solutions by reconciling accounts, resolving process issues, handling corporate actions, and streamlining operations.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

As a Staff Data Analyst, you will leverage extensive datasets to optimize AI products, inform data team strategy, and collaborate on data projects from ingestion to analysis.