Top Data & Analytics Jobs in Sacramento, CA

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

The Sales Analytics Manager will oversee sales analytics, implement AI-driven reporting solutions, and partner with various teams to enhance data governance and performance forecasting.

The Product Analyst will analyze product performance, develop reports, and collaborate with stakeholders to enhance pet insurance offerings through data-driven insights.

The role involves designing and building data processing pipelines, managing data accessibility and security, collaborating with teams, and mentoring junior engineers.

The People Insights Associate will analyze talent data to provide actionable insights for decision-making, manage HR analytics tools, and collaborate with teams to improve data usage and reporting.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.