Top Data & Analytics Jobs in Denver & Boulder, CO

The role involves operational support for data warehouse systems, optimizing pipelines on AWS, managing CI/CD processes, and collaborating on data transformations.

Serve as the primary finance contact for IT departments, supporting financial planning, analysis, and operational queries while developing frameworks for performance assessment and creating financial presentations for management.

The Senior Customer Lifecycle Analyst leads data-driven projects focusing on customer retention, engagement, and lifetime value, leveraging advanced analytics and visualization tools to provide business insights and recommendations.

Lead automation and measurement of the AI Governance program by building self-service dashboards, tracking Time-to-Approval and throughput, analyzing trends to remove bottlenecks, producing C-suite Evidence Packs, recommending workflow improvements, and collaborating with delivery analysts to increase governance maturity and operational throughput.

Analyze transactional and operational payments data to monitor performance, detect risk and fraud, and improve collections. Build, validate, and automate daily/weekly/monthly reports and alerts, consolidate data sources, deliver insights to stakeholders, and support special analytics projects to drive operational efficiency.

Manage end-to-end incentive compensation calculations and monthly payouts for field technicians and sales reps. Audit work order, labor, and parts data, build dashboards, model financial impacts of plan changes, automate payout processes using SQL/Python/ICM tools, and apply AI/ML for anomaly detection to ensure accurate, timely payments.

Perform advanced analysis of large datasets to optimize field efficiency and logistics, build forecasting and headcount models, create Tableau dashboards, lead cross-functional alignment, use predictive analytics/AI to automate reporting, and present data-driven recommendations to operations leadership.

Lead retention and loyalty strategy for Sling and DISH video services using advanced analytics. Build financial models, identify churn risk, design and execute cross-functional initiatives, support AI/ML-driven solutions, and present insights to senior leadership to improve customer lifetime value and profitability.

The Ticketing Insights Analyst II analyzes complex ticketing data to improve operational efficiency and customer experience through automation and data storytelling while collaborating with various teams to drive insights.

The eDiscovery Business Analyst II will manage eDiscovery tasks, work with legal teams, utilize eDiscovery tools, and support technology projects while ensuring compliance with legal data handling practices.