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.

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.

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.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

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.

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.

Support randomized control trials and A/B tests for Party at the Polls: maintain experimental data tables, prepare samples, analyze results (pre/post-election), prioritize sites, and produce reports and timely program performance analysis.

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.

Analyze customer implementation and product usage to identify drivers of adoption, retention, and expansion. Build dashboards, quantify configuration and workflow impacts, surface deployment friction, and partner with Product, Sales, and Customer Success to create evidence-based playbooks and metrics that inform roadmap and go-to-market strategies.

Design, build, and maintain Looker/LookML reporting and dashboards; partner with stakeholders to gather requirements; write performant SQL and dbt models; ensure data quality and documentation; analyze large datasets and deliver insights; grow into data engineering tasks (pipelines, orchestration, integrations).

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.

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.

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.

The Workday Reporting & Data Analyst will design and optimize reporting solutions, enhance data accuracy, and deliver insights through Workday and Power BI while collaborating with HR leaders.

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.

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 Consumer Lending decisioning analytics across credit card, HELOC, and personal lending. Translate business needs into analytical approaches, perform hands-on analysis and validation, oversee and mentor junior/offshore analysts, partner with stakeholders, and drive automation, model monitoring, and process improvements to scale analytics capabilities.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.