Top Data Analyst Jobs in Denver & Boulder, CO

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Analyze large operational datasets to optimize field efficiency, logistics, and supply chain pipelines. Build forecasting and headcount models, create dashboards and KPIs in Tableau, apply predictive analytics/ML to automate reporting, lead cross-functional alignment, and present data-driven recommendations to field and executive leadership to reduce costs and align capacity.

Analyze transactional metrics to identify inefficiencies, financial risks, and fraud; produce and validate daily/weekly/monthly reports and proactive alerts; consolidate and validate data sources for reporting; recommend process improvements to improve collections efficiency and customer satisfaction; deliver presentations and special-project analyses to senior management while leveraging automation and AI tools.

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

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Maintain and update EchoStar's Data & AI Governance Compliance and Risk Register, translate AI regulations into controls, coordinate evidence for audits, integrate compliance gates into CI/CD and MLOps, produce executive compliance reporting, and oversee AI risk assessments.

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.

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.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Analyze commercial campaign performance, build dashboards and reports, provide actionable insights for Client Services and Sales, manage target lists and data quality, and improve reporting through automation and AI-enabled tools to support commercial growth.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

Collect, analyze, and interpret complex data; develop and maintain databases and data processes; build reports, dashboards, and visualizations; collaborate with stakeholders and data teams; implement data and statistical models to solve business problems; stay current with tools and industry trends.

Collect, analyze, and interpret complex data; develop and maintain databases, data processes, models, and statistical algorithms; create visualizations, reports, and dashboards; collaborate with cross-functional teams; and stay current with industry tools and methodologies to inform business decisions.

Support warehouse operations by analyzing performance data, building dashboards and recurring reports, monitoring KPIs, performing ad-hoc analyses, validating data, automating reporting, forecasting labor needs, and presenting actionable recommendations to operations leadership to improve productivity and service.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Collects and organizes information for user manuals, training, installation guides, proposals, and reports. Edits functional descriptions and system specifications. Prepares and maintains systems, programming, and operations documentation and procedures. Maintains internal documentation library, supports financial/administrative tasks, coordinates documentation services, and works with Agile teams in a secure remote environment supporting government projects.

Perform business analyses, develop hypotheses, build and maintain dashboards in Sigma, support forecasting and budgeting, perform data quality checks, and advise stakeholders to drive data-driven decisions across Growth, Product, Insurance, Finance, and Executive teams.

Lead a small analytics team to produce data-driven insights for marketing and media optimization. Mine proprietary datasets, apply statistical methods, forecast KPI impacts, monitor business metrics, and act as liaison between business and technical teams to drive profitable media and client growth.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.