Top Remote Data & Analytics Jobs in Sacramento, CA

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.

Interns will assist in economic analysis, market design, and data preparation while gaining real-world experience in the energy industry.

The Senior Oracle Database Administrator manages production databases, enhances performance, oversees migrations, implements solutions, and ensures database security while supporting the team on-call.

The Business Process Analyst manages reporting operations, facilitates change management, supports incident resolution, and implements process improvements to enhance reporting quality and stakeholder satisfaction.

Lead data engineering efforts, build ETL pipelines and data lake infrastructure, ensure data quality, and support cross-functional analytics and BI teams.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The Data Analyst will liaise with study teams, process clinical trial data, troubleshoot data errors, and maintain data standards.

The Clinical Analyst handles complex data projects, provides analytical support, extracts and models data, develops reports, and assists in training other analysts.

The Lead Data Product Owner manages the lifecycle of Humana's pharmacy data products, ensuring quality data governance, backlog management, and aligning analytics with business objectives in a SAFe Agile environment.

The Senior Business Intelligence Engineer leads commission analytics initiatives, develops actionable insights using Heap, and mentors junior engineers.

The Senior Business Intelligence Engineer will design and maintain BI analytics solutions, ensuring data-driven decision-making in healthcare operations while ensuring compliance with data governance standards.

The P&C Actuary Lead Consultant manages reserving projects using actuarial methods, leading analyses, mentoring talent, and ensuring data quality.