Top Hybrid Data & Analytics Jobs in CO

Lead CIVHC's evaluation and innovation efforts, manage a team, and utilize CO APCD data to enhance health care quality and access.

Lead and advance Ibotta's measurement and causal inference efforts: design experiments, diagnose measurement anomalies, drive enterprise data-science initiatives, set technical standards, mentor staff, and present results to executives to quantify marketing impact.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

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.

The Senior GTM Strategy Analyst drives strategic planning, performance analysis, and business casing to optimize growth and align commercial decisions with data and insights.

The Product & Market Intelligence Analyst conducts product analysis, ensures demo environments are maintained, collaborates cross-functionally, and provides actionable market insights to influence strategies for product, sales, and marketing teams.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

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.