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.

Drive data-driven decision making for the Trading team by analyzing large datasets, building dashboards and data products, developing governed analytics (Looker/LookML), and presenting insights to stakeholders. Mentor junior analysts, implement reporting structures, and collaborate cross-functionally to propose data-driven solutions for the next-generation trading platform.

As a Data Analyst, you'll ensure data integrity, model financial impacts, and automate processes while delivering insights to improve efficiency and customer experience.

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

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

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.

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.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

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.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Analyze large claims datasets to produce client-ready reports and deep-dive analyses supporting PBM client onboarding, risk assessment, and member transition. Communicate findings to internal teams and external partners and prepare deliverables for operations.

Own sourcing, validating, and preparing PHI-containing member lists in Snowflake for email, SMS, and print. Build automated data-quality checks, manage suppression and opt-out logic, document transformations for auditability, and partner with Marketing Operations and centralized Data to ensure compliant, accurate communications and resolve upstream data issues.

Perform advanced non-ML analytics to answer business questions, build ETL workflows, create Tableau dashboards, synthesize findings, and present actionable insights to senior stakeholders to improve video products.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

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.

Provide data extraction, cleansing, analysis, visualization and storytelling for SPACECOM systems. Elicit requirements, design data models and metadata, build BI dashboards (Qlik/Power BI), document governance, deliver training, and support government financial office process improvements.

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.

As a Staff Data Analyst, you'll design key business metrics, conduct rigorous analyses, ensure data quality, and mentor the Data team, aligning data initiatives with business goals.

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

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.

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.

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.