Top Data & Analytics Jobs in Sacramento, CA

Design, develop and implement test data masking and subsetting solutions using IBM Optim. Gather requirements from application and testing SMEs, create automation for masking processes, collaborate with DBAs, data modelers and QA, and support existing masking artifacts and processes.

The role involves collecting and implementing Google Analytics for applications, focusing on redesigning existing implementations, along with consulting experience.

Analyze complex data to support company-wide decisions, building metrics, scalable data pipelines, dashboards, and reports. Partner with cross-functional teams and leaders to translate business needs into data problems, deliver actionable recommendations, and improve self-service reporting. The role also involves data storytelling, stakeholder training, and enabling data literacy. Preferred experience includes Spark, Python, statistical analysis, leadership reporting, software development practices, and AI tools.

Organizes healthcare claims, utilization, provider, and enrollment data to create recurring and ad hoc reports, dashboards, reconciliations, and analytical summaries. Identifies data-quality and process gaps, supports regulatory inquiries and cross-functional projects, tracks reporting deliverables, and translates complex healthcare data into actionable insights for business performance, cost containment, utilization, and compliance improvements.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.

Develop and maintain Amazon QuickSight dashboards in a secure CMS environment supporting healthcare quality improvement programs. Responsibilities include gathering requirements, creating analyses and visualizations, validating data and calculations, documenting dashboards, conducting user acceptance testing, troubleshooting, and supporting deployment. The role also develops Tableau visualizations, performs ad hoc analysis, coordinates with stakeholders, and communicates technical findings and dashboard guidance.

Manage, update, and analyze healthcare databases to produce accurate, analytically ready data. Responsibilities include processing healthcare data feeds, performing ETL, validating data quality, collaborating with suppliers, documenting processes, preparing client reports, and designing, creating, modifying, and testing ETL jobs. The role requires strong database, data integration, modeling, warehousing, analytical, communication, and problem-solving skills.

Own analytics and reporting initiatives for EDU Partnerships, from defining business questions through delivery and adoption. Build scalable dashboards, reports, data products, and self-service resources; analyze partner health, performance, student engagement, risks, and opportunities; and deliver partner-facing insights. Collaborate with Product, Engineering, Data, Success, Sales, Marketing, Finance, and Support while communicating findings, improving data quality, and enabling stakeholders to make informed decisions.

Senior Growth Analyst partnering with product, go-to-market, and initiative teams to define objectives, monitor marketplace metrics, build dashboards, investigate opportunities, run experiments, and translate data-driven insights into execution plans. The role requires strong SQL analysis, marketplace expertise, communication, leadership, and cross-functional influence. It is remote-first, with occasional onsite meetings in San Francisco.

Develops business intelligence, reporting, data pipelines, dashboards, and geospatial solutions for complex real estate portfolios. Transforms and integrates data from multiple sources, builds scalable analytics products, automates reporting processes, and supports portfolio planning, occupancy strategy, workplace initiatives, and operational decision-making. Partners with stakeholders and clients to translate business needs into technical solutions, communicate insights, train users, and improve analytics adoption. The role also supports geospatial capabilities and leverages emerging AI-enabled tools.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements for cost efficiency, reliability, access control, observability, orchestration, CI/CD, and developer experience. Drive complex cross-team initiatives, resolve production issues, influence architectural decisions, mentor engineers, and build automation incorporating AI into data engineering workflows.