Top Data Analyst Jobs in Denver & Boulder, CO

Partner with HR and business leaders to deliver workforce analytics, build automated dashboards and models using SQL, Python, and Tableau/Alteryx, ensure data quality, and provide actionable insights and forecasts to inform people strategy.

As a Data Analyst II, you will enhance marketing strategies by auditing current data processes, creating dashboard reports, and conducting A/B tests with statistical validation to drive customer engagement and growth.

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.

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.

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

Own and maintain the Propel PLM system to ensure accurate product data, BOMs, and integrations with ERP/CRM. Configure workflows, roles, and data structures; validate product and manufacturing documentation; support cross-functional teams; lead PLM projects; drive data quality improvements, user training, and continuous system enhancements to align PLM with production and supply chain operations.

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.

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

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.

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.

The Lead GTM Data Operations Analyst will operate and extend AI-driven data quality pipelines, optimize agent outputs, and monitor offshore resolution teams, ultimately improving data accuracy and management in a dynamic, evolving environment.

Develop and maintain payment analytics: define KPIs, build automated dashboards and reporting tables, analyze transactions and declines, investigate payment issues, run ad hoc analyses, and present actionable insights to stakeholders.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

Lead post-market complaint data analysis and dashboards to identify trends, support investigations and CAPA, ensure data governance, and enable regulatory compliance and continuous improvement across Quality and cross-functional teams.

Provide data analytics, visualization, and management consulting support to federal clients: assess requirements, develop and implement analytic solutions, produce reports/briefings, manage project tasks, maintain SharePoint/Teams artifacts, and support deployment of Microsoft Power Platform tools as needed.

Perform analysis and build scalable data models, dashboards, and self-serve tooling to inform product, engineering, and leadership decisions. Implement ETL, maintain BI platforms, and deliver data products and visualizations for internal teams and clients to improve operational efficiency and business strategy.

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 large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.