Top Data Analyst Jobs in Denver & Boulder, CO

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.

Design scalable data structures for marketing attribution and audience segmentation, build SQL/Python workflows, create automated Tableau dashboards, run A/B tests with statistical rigor, and integrate AI-driven automation to accelerate reporting and insights for marketing stakeholders.

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.

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.

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.

Lead end-to-end analytics to optimize customer lifecycle, retention, LTV, and engagement. Build reporting suites and interactive dashboards, perform advanced statistical analysis, collaborate with Data Science on data prep and features, leverage generative AI and automation, mentor junior analysts, and translate insights into business recommendations.

Lead contact center analytics by analyzing large datasets, building predictive models, ensuring data quality, and creating dashboards. Collaborate with cross-functional teams, identify AI/automation opportunities, present insights to executives, and maintain data privacy and repeatable reporting processes to improve customer experience and operational efficiency.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

Perform data analysis on complex spreadsheets, benchmark and research data to identify trends and insights. Collaborate with writers, engineers, and strategists to validate and implement findings, create charts and visualizations, and deliver timely, client-facing deliverables as a US-based freelance contractor.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Perform end-to-end data analysis and translate business requirements into scalable data products, reports, dashboards, and data pipelines. Design data models, document architectures (ERDs, dimensional models), support ETL/ELT, data quality, governance, lineage, and enable client adoption of modern analytics and AI-driven solutions through collaboration, training, and troubleshooting.

Provide insights and recommendations to improve end-to-end purchase customer journeys across web and app for B2C and B2B. Lead A/B testing and experimentation, ensure accurate data collection and impact measurement, build self-service reporting and visualizations, query and process data, and present findings to stakeholders and senior leadership.

Owner of analytical projects: translate business questions into analyses, build ETL workflows, analyze complex datasets with SQL/Excel, create and maintain Tableau dashboards, produce executive-ready presentations, and present insights to senior stakeholders to improve customer reliability and product performance.

Perform exploratory data analysis to find trends and outliers, analyze business processes to identify improvements, provide data-driven recommendations to boost efficiency and profitability, and ensure data accuracy and integrity. Apply P&C insurance, pricing, underwriting, and IoT data knowledge to support rating and risk/loss analysis.

Remote Data Analyst responsible for analyzing complex datasets, designing databases, developing ETL pipelines, creating visualizations and reports with Power BI, using Python for analysis, and collaborating across teams using Agile and SDLC practices to surface trends and insights.

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

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.

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.

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.

Lead development of compliance dashboards, automated reports, and integrations between trade compliance systems and ERPs. Translate regulatory data into visuals, manage integration and implementation projects, coordinate cross-functional teams, and serve as subject-matter expert to drive compliance improvements and automation.

Provide advanced technical support and subject-matter expertise for Relativity platforms (RelativityOne/Server), design and maintain complex workspaces and permissions, configure analytics/processing/imaging, develop event handlers and advanced search logic, deliver client-facing training/demos, mentor junior analysts, review deliverables, and maintain eDiscovery SOPs and best practices.