Top Data Analyst Jobs in Denver & Boulder, CO

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 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.

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.

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.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.

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.

Own marketing measurement and data quality across brand, performance, and organic channels. Maintain dashboards, troubleshoot tracking, run attribution and incrementality tests, forecast media performance, and deliver actionable insights to stakeholders.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

Partner with stakeholders to define business questions, extract and analyze data (SQL), build visualizations/reports (Tableau, Excel), apply foundational statistics to reliability/operations problems, flag data quality issues, and present actionable insights in polished PowerPoint presentations.

Support product, finance, and operations stakeholders by writing SQL, building dashboards, analyzing A/B tests, automating reporting, and producing data-driven recommendations to improve revenue, retention, and platform health.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The Lead Data Analyst will manage analytics workflow, synthesize data, create visualizations and dashboards, and communicate insights to support decision making across teams.

The Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.