Top Remote Data & Analytics Jobs in Sacramento, CA

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

The Analytics Associate Consultant delivers GE HealthCare solutions, supporting product development, data analysis, client engagement, and enhancing analytics tools while requiring significant travel.

The Business Analyst will bridge business strategy and data delivery, translating business problems into data use cases and ensuring accurate KPI definitions and reporting. Responsibilities include engaging with stakeholders, validating data quality, creating dashboards, and supporting solution design.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

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 Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The Technical Consultant will manage SFTP-based data integrations between EdSights and partner institutions, ensuring accurate data processing and collaborating across teams to optimize workflows and documentation.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.