Top Remote Analysis Reporting Jobs in Denver & Boulder, CO

The Senior Consumer Insights Analyst leads consumer insights within cross-functional teams by managing research processes, synthesizing data, and delivering actionable findings to influence product development and strategy.

The Healthcare Analyst will ensure provider data accuracy through quality reviews, audits, and collaboration with stakeholders to improve processes and insights.

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.

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Fraud Intelligence Analyst investigates fraud cases, translates insights for product development, identifies fraud patterns, supports revenue workflows, and builds domain expertise through high-volume casework.

Analyze complex datasets to detect and prevent fraud, build dashboards, optimize queries, and collaborate with cross-functional teams in risk management.