Top Remote Analysis Reporting Jobs in Sacramento, CA

Lead Business Analyst partners with leadership to analyze data, evaluate processes, define requirements, build reports/dashboards, drive cross-functional improvements, and deliver executive-ready insights and recommendations to improve efficiency and business outcomes.

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

Validate and triage clinical data across HL7, FHIR, and Databricks pipelines using SQL. Trace transformations end-to-end, identify and remediate data quality issues, partner with engineering/product/clinical teams, document findings, and support client go-lives to ensure clinically accurate, production-ready data.

Senior Data Office leader responsible for shaping enterprise data governance, operating model modernization, and transformation to ensure trusted, accessible data. Advises executives, drives organizational change, aligns data investments to business priorities, and embeds governance into operations to support analytics, regulatory reporting, risk management, and AI readiness.

Lead and scale Prevail's Research function: set vision and strategy, manage and hire researchers, run complex quantitative and qualitative analyses, build cost-effectiveness and fund-sizing models, evaluate interventions, synthesize evidence into clear decision-ready outputs, and advise senior leaders to inform philanthropic investments.

Perform advanced geospatial analysis and HEC-RAS hazard modeling to produce defensible maps, reports, and web GIS applications for emergency management and recovery. Design and maintain spatial data models, run FEMA Hazus, develop GIS web services and custom applications (Python, JavaScript, ArcGIS APIs), conduct quality control, support claims assessment, and provide training and client support.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Implement, QA, and document tag management and data-layer specs across GTM, GA4, server-side pipelines, Shopify, and native apps. Collaborate with product and engineering to ensure tracking, pixel integrity, attribution, and experimentation event fidelity; support monthly audits, consent enforcement, and maintain centralized solution design documentation.

Design, build, and scale reliable batch and real-time data pipelines and warehouses. Partner with engineering, data science, and business teams to define data models, improve observability, optimize storage and querying, and evangelize data engineering best practices across the company.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.