Top Data Analyst Jobs in Denver & Boulder, CO

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Staff Data Analyst will lead data strategy for regulatory engagements, develop actionable analytics, and influence compliance strategies through effective communication and collaboration.

The Senior Fraud Data Analyst will analyze data to prevent and detect device fraud using Python, Machine Learning, SQL, and Tableau, while collaborating with teams to enhance fraud prevention strategies.

The Business Data Analyst will design and maintain analytical tools and metrics, translate business needs into data-driven insights, and enable strategic decision making through effective data visualization and storytelling.

As a Data Analyst, analyze data using SQL, Python, and Tableau to provide insights, support project management, and enhance customer experiences.

The Data Analyst II manages incentive compensation calculations, ensures data integrity, builds performance reports, and automates processes using SQL and Python.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

Develop and maintain program performance metrics and visuals, analyze complex engineering datasets, drive process automation and continuous improvement, support planning and risk identification, and manage project scope and status communications to leadership.

Partner with HR, Finance, Operations and IT to build workforce planning analytics and self-service reporting. Extract and join complex data, perform forecasting and deviation analysis, automate dashboards and workflows, and deliver actionable visualizations and scenario-planning tools to inform staffing and scheduling decisions.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Product Data Analyst at Counterpart Health will analyze product metrics, design experiments, and deliver insights to optimize healthcare outcomes and support primary care.

The Data Analyst Consultant will analyze data, generate insights, automate reporting, and communicate findings effectively, supporting strategic initiatives.

The Data Analyst will document data definitions, create dashboards, manage datasets, assist with UAT, and support data flow validation for business analytics.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

Partner with Product leadership to build scalable Snowflake data models, run behavioral and funnel analyses, design A/B tests and predictive models, and translate insights to influence roadmap and product strategy.

Own marketing measurement and reporting across brand, performance, and organic channels. Ensure data quality, build dashboards, run attribution and incrementality tests, forecast media performance, and provide actionable insights to marketing and cross-functional stakeholders.

Responsible for analyzing Tech Refresh data, providing recommendations for automation, improving data management, and preparing reports for management using statistical tools.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

The Data Analyst will build dashboards, perform ad-hoc analyses, ensure data integrity, and collaborate across teams to refine data insights and enhance reporting.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.