Top Hybrid Data & Analytics Jobs in CO

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Design and deploy GenAI-driven marketing analytics: build SQL pipelines, Python automation and FastAPI endpoints, develop attribution, RAG and multi-agent LLM solutions, fine-tune/evaluate models, and operationalize insights via cloud and visualization tools to improve marketing performance.

Lead statistical programmer responsible for developing SDTM and ADaM datasets, producing TLGs, creating reusable SAS macros, validating outputs, configuring CDA in elluminate, mentoring programmers, and ensuring regulatory and quality compliance for clinical trial reporting.

The Staff Decision Scientist will provide analytics solutions and insights to clients, mentor junior team members, and optimize client success.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

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

The Credit Bureau Business Analyst will manage bureau execution and analysis, support product onboarding and compliance controls, and drive data quality improvements through data analysis and cross-functional collaboration.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The Sr. Manager of Business Intelligence drives analytic strategies in vehicle merchandising, collaborating across functions to deliver actionable insights through data analysis and reporting, using tools like MicroStrategy and Tableau.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.