Top Data Analyst Jobs in Denver & Boulder, CO

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

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 data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Analyzes, validates, and maintains Army MEDCOM facilities and real property data; supports dashboards, reporting, data integration, quality assurance, process improvement, documentation, training, and stakeholder deliverables. The role identifies data discrepancies, develops recommendations, provides technical support, and assists with Medical Readiness and Facility Investment Plan requirements. Periodic travel to project sites, meetings, training, and data collection locations may be required.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, payment support, and evaluation of new program opportunities. Develops monthly and ad hoc reports using Excel and Azure Synapse Analytics, interprets complex healthcare and insurance data, and communicates findings to senior leadership. The role also supports program implementation, maintenance, process improvement, and provider relationships.

Analyzes complex datasets to uncover business insights, develops dashboards and reports using SQL and visualization tools, and presents recommendations to stakeholders. Partners with engineering, operations, and other teams to solve business problems, prioritize strategy and projects, manage deliverables, and ensure data accuracy and timeliness.

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.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Provides public health research and evaluation support through qualitative, quantitative, and mixed-methods data analysis. Produces reports, interprets results, evaluates program implementation and outcomes, recommends improvements, and provides technical assistance to government clients and research recipients. The role also requires communicating findings to senior officials, managing administrative research systems, using data and reporting platforms, and following government research procedures.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Analyze operational, payment, enrollment, survey, and field data to identify fraud risks and anomalies. Design and validate fraud-risk indicators, support investigations, improve data quality, and translate findings into actionable recommendations. Partner with Product, Data Engineering, and operational teams to develop fraud-detection tools and improve controls. Document reproducible, audit-ready analysis while communicating uncertainty and findings clearly to nontechnical stakeholders.

Build and maintain trusted datasets across sales, marketing, fulfillment, supply chain, finance, and operational systems. Own data quality, documentation, metric definitions, and reusable data models. Analyze funnels, throughput, capacity, cohorts, experiments, and unit economics to identify root causes and support decisions. Develop self-service reporting and durable tooling, communicate quantified findings to leadership, and use AI tools to accelerate analytics workflows.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Lead development of compliance dashboards, automated reports, and integrations between trade compliance systems and ERPs. Translate regulatory data into visuals, manage integration and implementation projects, coordinate cross-functional teams, and serve as subject-matter expert to drive compliance improvements and automation.

Analyze fundraising data by building reports, dashboards, data pulls, forecasts, and operational metrics. Clean and validate Salesforce and related data, identify quality issues, document standards, and support finance reconciliation. Build lightweight tools and workflows using spreadsheets and Airtable, ensuring important data flows into Salesforce. Partner cross-functionally on reporting architecture and coach fundraisers on effective system use.

Build governed datasets and applied AI solutions for supply chain automation and pre-sales engineering. Develop forecasting, scenario modeling, optimization, benchmarking, and document intelligence workflows using Databricks, SQL, and Python. Publish reliable data products to Tableau Cloud, manage pursuit artifacts, and establish closed-loop learning by comparing design assumptions with operational outcomes. Partner with engineering, analytics, and solution design teams to improve automation proposals, estimates, and customer outcomes.

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.

Performs rapid ad hoc and diagnostic analyses to support data-driven decisions for the Individual Investors business. Responsibilities include prioritizing requests, querying and analyzing data with SQL, Python, Excel, and statistics, developing KPIs and dashboards, identifying trends and root causes, communicating actionable recommendations, prototyping solutions, and partnering with Analytics Engineering on scalable needs.