Top Data & Analytics Jobs in Sacramento, CA

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.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

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 Senior Business Analyst will act as a Subject Matter Expert, gathering requirements, analyzing processes, and collaborating with teams to enhance solutions for the Student Success Center.

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.

The Technical Operations Specialist will manage mobile app advertising campaigns, analyze data, write SQL queries, and collaborate with teams for optimization.

The FinOps Analyst will analyze cloud financial datasets, build forecasting models, and optimize resources for a government client.

The Senior Yield Manager analyzes performance data to identify monetization opportunities, collaborates with teams to optimize yield strategies, and communicates insights to improve publisher success.

The Associate Yield Manager analyzes publisher performance data to identify revenue growth opportunities, supports yield optimization strategies, and collaborates with cross-functional teams to improve ad monetization.

The Senior Yield Data Analyst will optimize monetization for publisher partners by analyzing data trends, enhancing yield performance, and providing actionable insights to internal teams while managing yield-related projects across departments.

Collaborate with stakeholders to gather and analyze business requirements for tax-related data products, translating needs into specifications and supporting project teams with documentation and validation.

The Senior Data Engineer will lead BI development, enhance Power BI architecture, mentor developers, and ensure efficient delivery governance for BI projects.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.