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.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

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.

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Reviews and prepares scientific datasets, metadata, documentation, and supplemental files for public archival publication through the Forest Service Research Data Archive. The role validates data quality, formats, accessibility, and compliance with metadata standards across tabular, geospatial, multimedia, database, and document formats. It also supports and trains researchers, coordinates delivery timelines, and assists with project collaboration.

Analyze operational data, build and maintain Power BI dashboards, validate data quality, investigate trends and discrepancies, document reporting definitions, and communicate findings to business stakeholders. Partner with IT, data engineering, and analytics teams to resolve data issues and support reliable reporting. Use SQL, Power Query, DAX, Excel, and AI-enabled analytics tools to transform data and inform process improvements.

Supports energy and sustainability analytics for data center clients by cleaning, validating, and analyzing datasets; developing Power BI or Tableau dashboards, dataflows, and reports; documenting methodologies; performing quality checks; and delivering accurate outputs across concurrent projects. Collaborates with energy and sustainability teams, learns internal analytics platforms, and identifies opportunities to improve reporting, automation, and workflows.

Analyzes operational and financial data to identify trends, risks, and opportunities; develops forecasts, regression models, scenarios, dashboards, visualizations, and recommendations for business decision-making. Partners with business leaders to define requirements, communicates insights, and supports data governance, quality, stewardship, modeling, and privacy initiatives.

Analyze and maintain manufacturing product data, engineering bills of materials, and product records across PDM systems and Microsoft Dynamics 365. Identify discrepancies in part numbers, attributes, classifications, and BOM relationships; support data standardization, reconciliation, documentation, and corrective updates. Collaborate with engineering and manufacturing stakeholders to resolve data issues and ensure accurate ERP product information.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports the Fleet Ballistic Missile program by owning data frameworks, metrics, reporting cadences, executive briefings, and decision-support workflows. Develops Tableau, Alteryx, and Vemo dashboards; designs self-service automations and data pipelines; analyzes staffing and cost data; creates seating strategies; translates complex data into visual narratives; and investigates variances through root-cause corrective actions. Collaborates across organizations and improves reporting efficiency and portfolio integration.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Analyzes operational, engineering, logistics, reliability, maintenance, training, supply chain, and program data for a NATO SATCOM support program. Develops executive dashboards, KPIs, scorecards, predictive reports, trend analyses, and risk assessments. Maintains product support databases, validates data integrity, supports reliability and sustainment analyses, and reports on readiness, quality, cost, schedule, and lifecycle performance. Presents actionable recommendations to technical and executive stakeholders.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Analyze, clean, transform, and integrate data from multiple sources; identify trends, anomalies, KPIs, and business insights; and create scalable Tableau dashboards, reports, and visualizations. Develop Tableau Prep workflows, support data governance, optimize data retrieval with engineering and IT teams, and communicate actionable recommendations to technical and executive stakeholders. The role also uses statistical analysis, ServiceNow operational analytics, and business intelligence tools.

Leads business analytics engagements, translating stakeholder needs into data requirements, models, dashboards, forecasts, statistical analyses, and actionable recommendations. Performs data exploration, querying, modeling, and visualization across large datasets; supports data governance, quality, security, and stewardship. Mentors analysts, communicates insights to leaders, collaborates with enterprise data teams, and identifies opportunities to apply machine learning in business decision-making.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Supports financial planning and analysis for agricultural operations, including budgeting, forecasting, management reporting, dashboard maintenance, capital-spending analysis, feed reconciliation, and data-warehouse support. The role works with crop, cattle, milk, and feed-related financial data to identify performance improvements. It requires strong quantitative skills, Microsoft Excel proficiency, attention to detail, and the ability to work collaboratively with guidance.