Top Data Analyst Jobs in Denver & Boulder, CO

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

You will manage data flows for ASI's defense products, leveraging modern data engineering skills to ensure reliable data for decision-making.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Data Lead will manage and enhance data flows for defense products, ensuring trusted datasets for timely decision-making while explaining technical details clearly.

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.

Lead data analysis and reporting for the Trading team, build and maintain dashboards and governed analytics, deliver quantitative research, mentor juniors, and present insights to stakeholders to support decision-making and next-gen trading platform development.

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.

Assess and validate payer-submitted and processed claims data for completeness, accuracy, and documentation. Run SQL queries, support QA, identify best practices, develop data management/analytics capabilities, and communicate findings to stakeholders while collaborating with the Data Quality team.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

Collect, clean, and validate data from multiple sources; analyze datasets to identify trends and KPIs; develop and maintain SQL queries and Excel workbooks; create visualizations; present findings to non-technical stakeholders; collaborate with business partners to translate requirements into data-driven recommendations and support the finance analytics ecosystem.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.

Partner with the VP of Talent Acquisition to manage and analyze recruiting and HR data. Build and distribute recruitment dashboards, audit data integrity, create Workday queries and ad hoc visualizations, identify hiring bottlenecks, and present insights to leadership while maintaining confidentiality.

Extract, analyze, and map client data from legacy relational databases into Bloomerang systems. Export data, create and test data maps and code, document processes, report data issues, and support conversions while collaborating with engineers and project managers. Work on entry-level conversions and become a subject-matter expert on migration best practices and Bloomerang capabilities.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

The Data Analyst will perform data analytics and data science projects, work collaboratively on client engagements, and develop skills in analytics.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Design, develop, and deliver analytics and BI products on Palantir Foundry integrating Appian and VA financial systems. Build dashboards, data models, and data quality monitoring; translate stakeholder requirements into KPIs and visualizations; support pipeline design, documentation, and training for VA acquisition and financial analytics.

Design and implement end-to-end SQL data pipelines and R/Python/SAS statistical analyses for HEOR/RWE observational studies using Komodo's Healthcare Map. Validate and document analyses, apply epidemiologic methods and advanced statistical techniques, produce publication-ready deliverables, and present results to stakeholders while maintaining version control and reproducible research practices.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

As a Lead Data Science Analyst, you will develop predictive models, perform statistical analyses, and implement AI-driven solutions to enhance the sales customer lifecycle and drive business insights.