Top Data & Analytics Jobs in Denver & Boulder, CO

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 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.

The Lead Data Engineer will maintain and optimize large-scale data architectures in a cloud environment, ensuring data quality and reliability while leading ETL operations and continuous improvement initiatives, integrating advanced tools like Generative AI and Infrastructure-as-Code.

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.

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

The Credit & Collections Strategy Analyst optimizes revenue assurance and credit risk by analyzing delinquency data and trends, providing actionable insights, and enhancing processes through automation and AI tools.

The role involves modernizing data processes, optimizing SQL workflows, creating Tableau visualizations, and integrating AI tools for sales analytics.

The role involves leading data analytics projects, developing scalable reporting solutions, advanced statistical analysis, and collaborating with cross-functional teams to drive customer lifecycle strategy.

The Data Analyst II analyzes data using SQL, Python, and R to provide actionable insights, improve processes, and support decision-making across teams. Responsibilities include developing forecasts, liaising with stakeholders, and presenting findings to executives.

As a Data Scientist I, you'll translate technical logs into actionable insights, operationalize AI/ML for predictive health monitoring, and enhance customer experiences through data-driven investigations and visualizations.