Top Data Analyst Jobs in Denver & Boulder, CO

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.

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.

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

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.

Analyze observability, digital experience, and business analytics data for enterprise clients to improve website performance and user engagement. Manage relationships with 4–8 clients, conduct ad hoc analyses, configure Dynatrace solutions, create reports and dashboards, present findings to technical and executive audiences, provide training, and influence product roadmap decisions. The role combines advanced data analysis, strategic consulting, customer account management, and executive communication.

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.

Lead the elicitation, documentation, and governance of business and data requirements for cloud-based data products. Drive source-to-target mappings, collaborate with engineers and architects, support testing and UAT, produce Agile artifacts, contribute to metadata ingestion, and ensure audit-ready, compliant reporting and analytics for the CMM program.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

Provide insights and recommendations to improve end-to-end purchase customer journeys across web and app for B2C and B2B. Lead A/B testing and experimentation, ensure accurate data collection and impact measurement, build self-service reporting and visualizations, query and process data, and present findings to stakeholders and senior leadership.

Develops complex analyses by integrating and standardizing disparate data sources, writing advanced SQL or SAS queries, creating data models and scoring methodologies, and presenting recommendations to business and analytics leaders. The role ensures data quality, documents scalable solutions, identifies process improvements, and supports strategic healthcare initiatives through advanced analytical tools and cross-functional collaboration.

Analyze and reconcile asset and licensing data from multiple sources to support software sales and enterprise agreements. Produce MACD reports, identify data discrepancies, recommend clean-up actions, audit service contract exports, and deliver customer-facing insights to improve install base accuracy and prepare for license true-forwards.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

As a Lead Data Science Analyst, you will develop predictive models, perform statistical analyses, and implement AI-driven solutions to enhance the sales customer lifecycle and drive business insights.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Analyze marketing data to uncover acquisition, retention, funnel, and campaign insights. Build Tableau and Looker Studio dashboards, evaluate ad spend and marketing performance, support A/B testing, integrate and validate data from platforms such as Google Ads and GA4, and provide recommendations to marketing, product, and customer experience teams. The role also improves reporting workflows and translates complex analytical findings into actionable business guidance.

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.

Analyzes, validates, and prepares distribution data; develops dashboards, reports, and visualizations; supports warehouse management systems, labor management, configuration, testing, and continuous improvement. Partners with Distribution, IT, process teams, engineers, and vendors to provide business intelligence, troubleshoot systems, communicate data insights, and support operational and strategic decisions.

The Data Analyst position requires U.S. citizenship and that all work be performed within the continental United States, Alaska, or Hawaii. The listed annual pay range is $90,000 to $110,000.

Analyzes, validates, and maintains provider data for credentialing, enrollment, health plan rosters, and regulatory submissions. The role performs data reconciliation, quality checks, reporting, exception resolution, and audit support while collaborating with credentialing, operations, compliance, contracting, enrollment, and IT teams. It also supports process improvement, automation, data governance, system testing, and documentation to improve provider data accuracy and submission timeliness.

Supports internal audit assurance and advisory projects by compiling KPI and KRI data, extracting complex datasets, creating data models and flow diagrams, writing analytical scripts, and collaborating with IT, auditors, and business partners. The role helps quantify enterprise risk and improve audit efficiency through proactive analytics across domestic and international operations.