Top Data Analyst Jobs in Denver & Boulder, CO

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

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.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Analyze transactional metrics to identify inefficiencies, financial risks, and fraud; produce and validate daily/weekly/monthly reports and proactive alerts; consolidate and validate data sources for reporting; recommend process improvements to improve collections efficiency and customer satisfaction; deliver presentations and special-project analyses to senior management while leveraging automation and AI tools.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

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.

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

Provide financial and data analysis for Account Management by translating pharmacy claims and rebate data into strategic insights, ensuring report integrity, supporting client meetings/QBRs, and improving reporting tools to mitigate spend and attrition.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Own reconciliation and validation of client billing across internal systems, build repeatable data-quality checks and documentation, support Client Group with reporting and dashboards, investigate discrepancies, and drive process improvements and automation to reduce billing friction.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python. Clean and process data, build dashboards and reports with Power BI and Tableau, consult with stakeholders to gather requirements, and communicate findings to end users. Work in a hybrid Arlington, VA environment supporting federal clients.

Analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI and Tableau; consult technical and non-technical stakeholders; communicate analysis and deliverables to end users on federal government projects. Must possess IRS Public Trust clearance.

Analyze large structured and unstructured datasets using SQL and Python, clean and process data, build dashboards in Power BI/Tableau, consult with stakeholders, and communicate findings to deliver analytic solutions for federal clients.

Analyze large structured and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI/Tableau; consult stakeholders and communicate findings to end users.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python; build and deploy dashboards in Power BI/Tableau; consult with stakeholders, communicate findings, and collaborate with data scientists and engineers to deliver analytic solutions for federal clients.

Join a cross-functional team to explore and analyze large structured and unstructured datasets using SQL and Python, build and deploy dashboards (Power BI, Tableau), consult with stakeholders, and communicate analytic results and reports to end users for federal government clients.

Consult with stakeholders to explore and analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean, process, and manage data; build and deploy dashboards and reports (Power BI, Tableau); communicate findings to end users; collaborate with cross-functional teams to translate requirements into analytic solutions.

Collect, clean, validate, and analyze data to identify trends and business opportunities. Create reports and dashboards (Excel, SQL, Power BI/Tableau), monitor KPIs, document data sources/processes, and present insights to stakeholders while collaborating across teams.

Maintain and update EchoStar's Data & AI Governance Compliance and Risk Register, translate AI regulations into controls, coordinate evidence for audits, integrate compliance gates into CI/CD and MLOps, produce executive compliance reporting, and oversee AI risk assessments.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Design and implement a marijuana-focused data warehouse and reusable APIs (Mulesoft). Identify data gaps, define system enhancements and governance, develop ETL/ingestion workflows, design APIs and integrations, evaluate visualization/analytics engines, and publish data to the state open data portal while collaborating with state agencies and system engineers.

Provide data science, data management, and integration expertise for CDHS interoperability project: document data, design integration architecture, recommend identity resolution, define data quality metrics, develop metadata, categorize data sensitivity, define APIs/workflows, and evaluate analytics platforms to create a 360° view of clients and assess program effectiveness.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.