Top Data Analyst Jobs in Denver & Boulder, CO

Analyzes and maintains healthcare data exchanges between the company and external partners. Responsibilities include designing EDI mappings and transformations, validating claims and eligibility data, resolving errors, monitoring data feeds, supporting integrations, documenting processes, generating performance reports, and identifying automation opportunities. The role requires healthcare EDI expertise, knowledge of claims transactions and HIPAA compliance, technical troubleshooting, and collaboration with internal teams and trading partners.

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.

Supports pharmacy benefit data exchange by developing, validating, monitoring, and troubleshooting eligibility, claims, formulary, and network feeds. Performs reconciliations, manual claims support, historical data loads, connectivity setup, and issue resolution. Collaborates with operations, implementation, product, development, clients, and integration partners. Documents procedures, improves workflows, and ensures compliance with PBM, Medicare, Medicaid, HIPAA, security, and data governance requirements.

Analyze and resolve integrated member accumulation data issues across internal systems and external partners. Monitor data exchanges, validate data integrity through audits and reconciliation, investigate errors, and coordinate issue resolution within service levels. Support projects involving vendor changes, client migrations, and client additions while ensuring accurate data transfers and adherence to company standards.

Manages healthcare data exchange operations, including EDI mapping, file transformation, validation, monitoring, troubleshooting, error resolution, partner onboarding, reporting, and process automation. The role supports medical, dental, and vision claims data while ensuring HIPAA compliance, data accuracy, and secure transfers. It collaborates with internal teams, clearinghouses, employers, providers, and third-party administrators to resolve issues and improve data integration processes.

Analyzes and manages healthcare eligibility data exchanges for new and existing clients. Coordinates file formats, data receipt, processing, issue triage, and resolution across internal teams and external partners. Serves as a subject matter expert on eligibility guidelines and EDI protocols, monitors data quality, performs audits and reconciliations, validates system transfers, and ensures timely, accurate benefits and enrollment data management.

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.

Analyzes complex business processes, data requirements, and information systems supporting the Defense Logistics Agency. Applies DoD Business Enterprise Architecture, data modeling, enterprise architecture, systems integration, and process analysis expertise to improve data quality, interoperability, modernization, and enterprise decision-making. This fully remote role requires Secret clearance and supports AMPS program initiatives.

Loads, queries, extracts, validates, and refreshes client data; prepares reports and deliverables; identifies automation and process-improvement opportunities; supports UAT, system implementations, and quality assurance testing; and collaborates with cross-functional teams. The role translates client requirements into actionable tasks and requires SQL, relational database, Oracle, Unix, data analysis, reporting, and communication skills.

Conduct alert testing and calibration, analyze supervision data using SQL, investigate trends and anomalies, evaluate data quality, and translate findings into recommendations. Collaborate with subject matter experts, data owners, and technology partners to obtain data and answer business questions. Develop reports, presentations, and visualizations using tools such as Qlik Sense, while applying AI-assisted and other analytical methods appropriately.

The Senior Data Analyst gathers business and data requirements, assesses data quality and sources, maintains data dictionaries and lineage, defines KPIs, validates reports, and delivers actionable insights. The role supports data governance, PII protection, integrations, data transformation, platform performance, business continuity, and process improvement. It collaborates with stakeholders and data teams, mentors colleagues, resolves complex issues, and contributes to enterprise data strategy and technology decisions.

Clean, structure, and analyze primary market research data using statistical tools; produce client-facing cross-tabulations; perform survey and data quality assurance; maintain databases and data systems; and improve processes while collaborating with research, marketing sciences, and publishing teams.

Analyze large datasets using SQL and Python, build dashboards and recurring reports, identify trends and data-quality issues, and translate ambiguous business questions into actionable insights. The role partners with product, customer success, and engineering teams, documents metrics and methodologies, and presents findings to technical and non-technical stakeholders. Healthcare data, supply chain analytics, modern analytics engineering, and BI visualization experience are advantageous.

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.

Analyze marketing and media data to measure TV and streaming campaign effectiveness, validate data and assumptions, identify actionable insights, and create clear visualizations and client-ready presentations. The analyst will use Excel, BI and data platforms, SQL, and AI tools to accelerate analysis while independently validating results and explaining methodologies, KPIs, and recommendations to internal teams and clients.

Designs and supports enterprise data integrations, ETL/ELT pipelines, APIs, data models, and transformations across Microsoft platforms. Maintains data quality, governance, security, and reliability while developing CI/CD pipelines, deployment automation, and release processes. Troubleshoots integration and deployment issues, manages environments, supports reporting and analytics, and collaborates with technical and business stakeholders to deliver scalable data solutions.

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.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

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.

Own data quality across systems by designing validation rules, reconciliation processes, profiling workflows, and quality controls. Investigate discrepancies to identify root causes, apply statistical methods to detect anomalies, evaluate machine learning model outputs, and communicate findings to technical and non-technical stakeholders. Partner with engineering, BI, and business teams to establish data quality standards, metrics, controls, and reporting practices.

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.

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.