Top Data Analyst Jobs in Denver & Boulder, CO

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Performs data profiling, analysis, migration, quality assurance, and issue resolution using SQL and related tools. Creates Power BI or Tableau dashboards, manages and analyzes geospatial data through Esri platforms, documents solutions, and supports data analytics and application development offerings. The role collaborates with senior technical resources, requires strong organization and communication skills, and may involve up to 10% travel.

Leads development and delivery of complex healthcare, clinical, provider, and financial datasets. Provides enterprise reporting, dashboards, data visualization, business intelligence, and decision support. Analyzes cost, utilization, provider, member, and clinical data to identify inefficiencies and savings opportunities. Serves as an internal analytics consultant, improves data procedures, automates reporting processes, trains team members, and ensures validation and documentation standards.

Manages technology governance, risk, and compliance activities, including vendor risk assessments, policy governance, audit coordination, access reviews, security-awareness training, and regulatory compliance. Uses ServiceNow and related platforms to document assessments, audits, policies, permissions, and third-party requests. Advises stakeholders on controls, responds to audit findings, supports role-based access initiatives, and serves as a GRC subject-matter expert across city agencies.

Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.

Analyzes donor, audience, and ministry data; owns executive KPI definitions; validates dashboards and AI-generated insights; develops surveys, experiments, and statistical analyses; and partners with stakeholders to deliver actionable recommendations. The role also oversees privacy operations, data governance, documentation, SQL data quality processes, and responsible AI use while supporting compliance with GDPR, CCPA, and related standards.

Supports public health data extraction, management, cleaning, validation, harmonization, statistical and qualitative analysis, and evaluation. Develops analytic datasets and documentation, analyzes implementation and outcome measures, integrates mixed-methods data, and prepares technical memoranda, reports, tables, figures, and presentations. The role also uses Microsoft Office and CDC administrative systems while supporting government program monitoring and evaluation activities.

Supports a global Microsoft Dynamics 365 ERP integration strategy by configuring Finance & Operations and Customer Engagement modules, establishing legal entities, defining business requirements, and resolving system and data issues. Leads functional testing, UAT, deployment, test automation, quality assurance, and data migration validation. Collaborates with legal, finance, operations, and technical teams to improve business processes, automate workflows, close process gaps, and ensure accurate, effective ERP implementations.

Data Analyst Intern supporting tax and regulatory data analysis, data collection, solution development, data quality assessment, and performance monitoring. The role provides exposure to custom data models, predictive analytics, machine learning, and artificial intelligence while assisting Data Analytics teams with client and internal projects.

Analyzes, validates, reconciles, and extracts healthcare data from disparate systems using Excel and SQL. Supports SaaS implementation projects, customer troubleshooting, reporting automation through SFTP, and communication of findings to technical and nontechnical stakeholders. The role also assists with data integrity, issue resolution, customer updates, and implementation progress tracking.

Analyzes servicing, collections, application funnel, and contact-center data to identify performance gaps and inform business decisions. Builds automated reports, partner data files, Snowflake and dbt models, and operations dashboards. Maintains metric definitions, audits models, reconciles partner data, and develops business-case analyses. Uses AI tools to improve analytics workflows and collaborates with data engineering, product, and business teams.

Analyzes data and builds analytical datasets, data models, SQL queries, Python notebooks, dashboards, and reports using Databricks and BI tools. Identifies trends, validates data quality, translates business requirements into reporting solutions, documents data logic, and communicates insights to technical and non-technical stakeholders. The role also supports governance, security, lineage, and compliance across collaborative client delivery projects.

Analyzes and validates data to create dashboards, reports, notebooks, visualizations, and reusable analytical workflows. Partners with business, technical, and customer stakeholders to define questions, improve datasets, communicate insights, and support operational and revenue decisions. Uses SQL, Databricks, Python, cloud platforms, version control, and automation practices. Maintains data quality, documents assumptions, manages multiple analytical projects, and travels occasionally to lottery and corporate locations.

Collects and researches equipment cost data for quarterly product updates, performs data analysis, and supports ownership and operating cost calculations. Maintains reports and dashboards, responds to data requests, audits processes, improves documentation, and partners with engineering and data quality teams to streamline workflows and ensure reliable, high-quality data.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Supports insurance financial data analysis, source-to-target reconciliation, data conversions, reference data maintenance, and financial close activities. Validates premium calculations, investigates variances, supports General Ledger reporting, and documents audit and SOX evidence. Owns business and technical stories, manages development backlogs, coordinates testing and releases, and partners with finance, developers, QA teams, project managers, and senior leaders to deliver data and systems enhancements.

Analyzes customer experience, survey, operational, CRM, ERP, support, and financial data to build unified customer views and actionable insights. Responsibilities include cohort analysis, segmentation, predictive modeling, revenue attribution, CX dashboards, reporting automation, and closed-loop action tracking. The role partners with IT, data teams, Finance, and business stakeholders to improve data quality and translate complex analyses into executive recommendations supporting retention, expansion, and customer experience improvements.

Analyze healthcare operations data to identify bottlenecks, model advocate capacity and supply-demand, build scalable Hex dashboards, refine SQL and dbt data transformations, and translate complex findings into operational recommendations. The role partners with Operations, Engineering, Product, Marketing, and Finance to improve workflows, reporting, resource allocation, and business outcomes across the patient and advocate journey.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

Supports information collection and organization for manuals, training materials, installation guides, proposals, and reports. Edits technical and customer-facing documentation, assists with financial and administrative tasks, and maintains systems, operations, and procedural documentation libraries. Collaborates remotely with project managers, requirements analysts, Scrum Masters, developers, testers, and government stakeholders in Agile ceremonies while complying with CUI and cybersecurity requirements.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, program evaluation, payment support, and ad hoc analytics. Works with healthcare and insurance data, develops monthly reports, evaluates new opportunities, and communicates findings to senior and executive leadership. The role requires advanced Excel and large-scale data experience, with preferred expertise in Azure Synapse Analytics, Databricks, PySpark, or Python.

Supports healthcare survey data operations through data collection, validation, quality review, file preparation, issue resolution, and documentation. Reviews data for completeness, consistency, outliers, and accuracy; communicates with respondents to clarify information; supports reports, statistical tables, custom analyses, and cross-functional data needs. Requires strong Excel skills, attention to detail, communication, and the ability to work with survey data and databases. The role is hybrid with on-site work in Englewood, Colorado and regular conference travel.