Top Data & Analytics Jobs in Denver & Boulder, CO

The FP&A Analyst will manage COGS budgets, conduct financial analysis, develop forecasting models, and collaborate with various teams to support business decisions.

The EIR Analyst conducts rigorous evaluation and research using the Colorado All Payer Claims Database, translating findings into actionable insights to improve healthcare in Colorado through innovation and data-driven solutions.

The Data Entry Clerk will enter, update, and maintain data in company databases, ensuring accuracy and organization while assisting with administrative tasks.

The RevOps Manager is responsible for optimizing sales execution through data analysis, CRM management, enablement initiatives, and strategic support for growth goals.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

Lead analytics efforts for Affirm's card platform, focusing on payment networks, partnership evaluations, and product strategy. Build measurement frameworks and dashboards to enhance card acceptance and customer satisfaction.

Lead investment strategies for Coinbase Ventures, develop investment thesis, conduct evaluations, and drive strategic projects while serving as a subject matter expert.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.