Top Data Analyst Jobs in Denver & Boulder, CO

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

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.

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

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 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 in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

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.

As a Staff Data Analyst, you will partner with Operations and Product teams to define success metrics, build dashboards, conduct root cause analyses, and deliver data-driven recommendations to improve borrower outcomes.

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.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

The Lead GTM Data Operations Analyst will operate and extend AI-driven data quality pipelines, optimize agent outputs, and monitor offshore resolution teams, ultimately improving data accuracy and management in a dynamic, evolving environment.

The Senior Data Analyst will perform hands-on analytical work using SQL, design A/B tests, develop dashboards, and partner cross-functionally to drive data-informed decision-making across various teams.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

The Staff Data Analyst is responsible for building data products, defining metrics, and collaborating with Sales and Customer Success teams, while leveraging AI for deeper analysis.

The role focuses on business analysis and project management, emphasizing analytics and reporting in an Agile environment. Responsibilities include requirements elicitation, solution design, project coordination, and stakeholder engagement to meet business goals in the pharmaceutical sector.

Lead and enhance Stripe's analytics infrastructure by setting standards, solving complex data challenges, improving data quality, and driving technical vision across teams.

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

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

The Data Analyst will build KPIs and dashboards in Power BI, analyze complex datasets, and provide actionable insights to stakeholders, mentoring junior analysts.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

The Senior People Data Analyst will measure organizational health metrics, manage Workday reporting, enable data access, and provide data-driven recommendations.