Top Hybrid Data & Analytics Jobs in CO

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 Senior Analytics Engineer will transform raw data into clean datasets, ensuring data quality, collaboration across teams, and creating robust analytics for business insights.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The Senior Analytics Engineer will design and maintain ELT pipelines, manage data layer for CX, and partner with teams to transform data into actionable insights.

As a Staff Decision Scientist, you'll analyze data, conduct A/B tests, build reporting tools, and provide insights to support business decisions. You'll collaborate with cross-functional teams to optimize strategies based on data findings.

The Imagery Analyst will perform imagery research and analysis to support customer missions using geospatial data. Responsibilities include obtaining and analyzing imagery, creating geospatial intelligence products, and communicating findings through reports and presentations.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

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.

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.

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.