Top Remote Data & Analytics Jobs in Sacramento, CA

Analyzes complex claims data to create SQL- and Power BI-based dashboards, reports, scorecards, forecasts, and actionable insights. Identifies claims leakage, payment anomalies, fraud indicators, reserve activity, and operational inefficiencies. Partners with Claims Operations, IT, Data Engineering, and leadership to improve reporting reliability, business performance, and decision-making. The role also supports statistical analysis, reporting governance, and AI-assisted analytics initiatives.

Design and govern conceptual, logical, and physical enterprise data models supporting analytics, reporting, AI-ready datasets, and certified data products. Translate business requirements into scalable data structures across customer, product, payer, and territory domains. Establish modeling standards, review models against Common Data Model standards, maintain metadata and lineage accuracy, and resolve data gaps and inconsistencies. Collaborate with business, engineering, and technology stakeholders to provide modeling expertise and design guidance.

Establishes and maintains enterprise data governance frameworks, standards, ownership models, privacy controls, metadata, quality monitoring, and stewardship practices. Partners with legal, security, privacy, records management, engineering, and business stakeholders to ensure compliant data use. The role identifies governance risks, supports audits and remediation, develops documentation and training, monitors program metrics, and contributes to governance roadmaps and maturity improvements for a federal courts modernization program.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

Own GTM reporting and analytics across Salesforce, warehouse systems, Tableau, and Excel. Build trusted dashboards, define metrics, investigate data quality issues, and lead analysis for pipeline, forecasting, territory design, capacity planning, productivity, and resource allocation. Partner with GTM, CRM, Data, and Systems stakeholders to improve reporting architecture and support leadership decisions. Use AI tools to automate analysis and develop internal analytics workflows.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Research, annotate and structure financial data from public filings using proprietary tools; standardize and maintain databases, ensure data integrity, collaborate on reporting requirements, and support special projects. Role requires attention to detail, ability to handle high-volume quarterly periods (overtime eligible), and strong Excel skills.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

Own and improve Vanta’s engineering, product, and design data systems by onboarding signal sources, standardizing data at ingestion, mitigating failure modes, and ensuring information is trustworthy and queryable. Build pipelines, internal tools, prototypes, and AI-enabled solutions; replace manual processes with engineering controls; collaborate with data producers and consumers; and help teammates develop their technical building skills.

Develop Power BI dashboards, reports, data models, and analytical tools for federal consulting engagements. Gather stakeholder requirements, integrate and validate operational data, create DAX calculations and Power Query transformations, and support forecasting, staffing, cost, inventory, and performance analysis. Optimize and document solutions, conduct testing and training, and transfer knowledge to Government users. Collaborate with logistics, operations research, security, and project management stakeholders.