Top Data & Analytics Jobs in Sacramento, CA

The Analyst, Revenue Cycle I ensures exceptional client experiences, manages Revenue Cycle operations, supports reporting and analysis, and drives process improvement initiatives.

The Senior Consultant supports health economics outcomes research via advanced analytics and statistical modeling, delivering actionable insights for healthcare stakeholders.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Head of Data & Analytics will lead a team to develop a data strategy, govern data systems, and deliver impactful insights across the company. Responsibilities include managing analytics and data platform architecture, fostering data-driven decision-making, and ensuring robust analytics infrastructure.

The Senior Director will lead CMAA analytics initiatives, manage client relationships, and drive innovation using RWD and AI tools. Responsibilities include building teams, proposal development, and executing high-value projects for Pharma and Medtech clients.

The Solutions Engineer for media will curate and validate datasets from Protege's catalog, collaborating with sales and partners to meet customer AI data needs effectively.

The Quantitative Mortgage Lending Analyst will analyze mortgage lending data, enhance analytics tools, integrate performance metrics, and collaborate on lending strategies.

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

This role involves developing Essbase solutions, managing Oracle EPM applications, and collaborating with finance teams to ensure optimal business analytics and reporting.

The Databricks Solutions Architect will lead technical engagements, guiding architecture, delivery, and implementation of complex data platforms using Databricks, while mentoring teams and ensuring best practices.