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 Department of State data engineering program: review data policies and governance, define requirements, build and maintain Palantir-based data pipelines, clean and integrate datasets, detect and remediate data fidelity and pipeline issues, produce analyses and visualizations, and coordinate with non-technical users and stakeholders.

Design, build, and maintain scalable data pipelines, data models, ETL/ELT, and BI solutions. Collaborate with data scientists and stakeholders to improve data quality, accessibility, and PHI security. Develop and document workflows, optimize processing/storage, support data warehouse and visualization, and adopt AI tools to drive data-informed outcomes.

Coordinate with analytics, IT, and business teams to analyze complex data, build predictive models, and optimize programs to drive revenue and improve outcomes. Apply data mining, modeling, and optimization techniques, communicate insights to stakeholders, and follow established procedures while making independent decisions. Support continuous improvement of consumer experiences and contribute to financial and operational modeling.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Embed as the primary product analytics partner on a digital product team. Define measurement plans, KPIs, funnels, build Power BI dashboards, analyze member behavior and funnel drop-off, design and interpret A/B tests, write SQL and Python for analysis and automation, and translate findings into clear product recommendations.

Lead the companys data organization by defining strategy, governance, analytics, and technology choices. Build and manage senior data teams, enable cross-functional data-driven decision-making, ensure data quality and compliance, and present insights to executive leadership and the board to drive business outcomes.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Design, implement, and optimize Adobe Experience Platform solutions for a HIPAA-compliant healthcare client. Build XDM schemas, ingestion pipelines, RTCDP audiences, CJA dashboards, and Adobe Target personalization. Integrate with Launch, Web SDK, Alloy.js, and AEM, enforce data governance, troubleshoot data quality, and collaborate with cross-functional teams to deliver scalable customer data solutions.