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.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

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.

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

The HR Data Analyst will develop Workday reports, perform audits, improve data quality, and support HR operations and reporting needs.

The N-PORT Data Analyst prepares and reviews SEC Form N-PORT filings, performs data validation, analysis and reconciliation, ensures regulatory compliance, and coordinates with multiple departments to resolve reporting issues.

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.