Top Data Analyst Jobs in Denver & Boulder, CO

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.

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.

The Data Analyst II analyzes data using SQL, Python, and R to provide actionable insights, improve processes, and support decision-making across teams. Responsibilities include developing forecasts, liaising with stakeholders, and presenting findings to executives.

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.

Senior Data Analytics Consultant who turns observability data into business insights for enterprise clients. Manage 4–8 accounts, present performance strategies to technical and executive audiences, perform ad-hoc analysis, configure Dynatrace, build reports and dashboards, enable clients, influence product roadmap, and improve internal processes. Occasional client and annual team travel required.

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.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

Extract, analyze, and map client data from legacy relational databases into Bloomerang systems. Export data, create and test data maps and code, document processes, report data issues, and support conversions while collaborating with engineers and project managers. Work on entry-level conversions and become a subject-matter expert on migration best practices and Bloomerang capabilities.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

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

Partner with clinical and operations leaders to build scalable real-time reporting, measure team performance and SLAs, perform root-cause analyses, advance data modeling and best practices, and enable stakeholder self-service using BI and AI capabilities.

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.

Analyze fleet-scale manufacturing, test, and operational data to create KPIs, dashboards, and AI-enabled applications. Perform ETL and statistical analysis, automate workflows with AI/ML, integrate cloud data services, and collaborate across engineering, product, suppliers, and operations to improve data quality and support NPI and product operations.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Design, develop, and deliver analytics and BI products on Palantir Foundry integrating Appian and VA financial systems. Build dashboards, data models, and data quality monitoring; translate stakeholder requirements into KPIs and visualizations; support pipeline design, documentation, and training for VA acquisition and financial analytics.

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.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

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.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

Serve as a data quality and QA engineer on a federal data platform: build automated AWS Glue/Deequ data quality checks, validate schemas and ETL pipelines, create and run unit/integration tests with 90% coverage, support IV&V and UAT, perform static/security scans, produce test documentation, monitor production ETL, and collaborate with data stewards and IV&V teams.

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.