Top Analysis Reporting Jobs in Sacramento, CA

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Build Sailor Health’s foundational data platform from scratch. Responsibilities include developing Snowflake and dbt pipelines integrating EHR, CRM, and communications data; creating data-powered web applications; automating clinical and billing workflows with Python; analyzing therapy transcripts and patient data using AI and machine learning; tracking clinical outcomes; and designing scalable data architectures in collaboration with clinicians, engineers, founders, and other teams.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Design and deliver scalable data and analytics solutions supporting the end-to-end sales lifecycle. Integrate SAP, Salesforce, and other enterprise sources into cloud data lakes, modernize BI platforms, ensure data quality and governance, drive automation and process improvements, and provide technical leadership and mentorship to teams while partnering with business and IT stakeholders.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Architects and delivers complex enterprise data products and full-stack business intelligence solutions. Translates ambiguous business requirements into scalable technical architectures, optimizes databases and BI systems, designs data marts and warehouses, and leads performance strategies. The role requires expertise across SQL, ETL, data modeling, Tableau, Power BI, and the Microsoft BI stack. It also advises leadership, mentors engineers, and advances analytics engineering practices through DevOps, CI/CD, and application design.