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.

The analyst provides analytical support, updates rating tools, maintains data accuracy, and communicates with stakeholders while managing projects.

Lead procurement-focused data analysis to inform strategy and optimization. Produce reports and dashboards, validate data, collaborate with stakeholders, mentor junior analysts, and manage multiple projects using Oracle, Ariba, Excel, and Tableau.

As an Interface Specialist II, you will develop and optimize automated processes, support integrations, manage projects, and collaborate on process improvements.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

Lead FP&A data analysis: collect and analyze data from Snowflake, Intacct, SFDC and other systems; build analytics, forecasts, and variance models; develop reporting and automation; partner cross-functionally to support financial planning, investor/management materials, and process, data infrastructure, and governance improvements.

As a Credit Risk Senior Analyst at Marqeta, you'll lead underwriting strategies, refine credit policies, conduct risk analyses, and present findings to senior management.

Design and execute SQL-based ETL processes to migrate legacy public safety data into Mark43. Collaborate with customers, contractors, and internal teams to map legacy schemas, handle edge cases, ensure data fidelity, and improve migration tooling while managing timelines and stakeholder relationships.

Lead forecasting, capacity planning, and workforce insights for customer experience operations. Build and backtest forecasting models, maintain dashboards (Tableau, Databricks, Five9, Verint, Excel), manage vendor forecasts, perform scenario modeling, and deliver executive recommendations to align staffing with service and cost goals.

The Senior Data Engineer designs and maintains data infrastructure, creating scalable data pipelines and ensuring data quality while collaborating with cross-functional teams.