Top Remote Analysis Reporting Jobs in Sacramento, CA

Lead and manage a team of statisticians and data analysts to design and perform quantitative analyses for wage-and-hour matters, deliver timely client-facing reports, streamline processes, ensure data quality, manage project workflows and budgets, and train staff in statistical methods and automation.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Execute day-to-day pricing analytics: prepare and clean retail pricing and promo data, run and validate pricing models and agent outputs, monitor in-season performance, assemble clear analytical reports for business reviews, and contribute to improving pricing agents and documentation to scale the pricing function.

Support a refrigerated food manufacturer as an individual contributor by analyzing retailer, POS, and household panel data, delivering actionable insights and presentations, managing multiple projects, and building strong client relationships to drive data-informed business decisions and growth.

Lead analytics and insights for Whole Foods Market and Sprouts, turning retailer, syndicated, and POS data into category management recommendations, executive-ready visualizations, and retailer-facing presentations to drive sales and assortment, pricing, placement, and promotional decisions.

Responsible for data governance and stewardship: maintain data quality and metadata, define and enforce data policies and standards, coordinate with business and technical stakeholders, and support compliance and data lifecycle management.

Implement and maintain metadata management solutions (Collibra) across cloud data platforms. Build metadata ingestion, synchronization, lineage capture, and CDE frameworks. Integrate with Databricks Unity Catalog, support governance, stewardship, regulatory compliance, and produce technical documentation and governance artifacts.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Design, build, and maintain scalable AWS data pipelines, data lakes, and warehouses; develop ETL/ELT processes; create and manage AWS QuickSight dashboards (including RLS, embedding, Topics/Spaces, and QuickSight Q); ensure data quality, governance, security; optimize performance; collaborate with stakeholders and support production reporting.

Lead growth analytics for a veterinary marketplace: partner with product, marketing, sales, and finance to identify and size opportunities, run experiments, build dashboards, and translate complex analyses into clear recommendations to move key metrics and OKRs.

Lead the development and execution of the NA digital transformation and data strategy, enhancing capabilities in AI and digital technologies across the business.