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.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

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.

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.

Analyze telematics, IoT, sensor, and firmware data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, identify trends and anomalies, apply statistical and machine learning techniques, validate firmware improvements, and provide actionable insights to engineering, product, data science, and customer support teams. Help develop scalable data pipelines and promote data-driven hardware and software development.

Supports the Reporting and Insights team by developing data models, pipelines, dashboards, and ad hoc analyses. Responsibilities include SQL optimization, data validation, pipeline governance, requirements documentation, release management, stakeholder collaboration, and resolving business and technical issues across teams.

Analyze customer behavior, forecasts, market share, retention, revenue growth, and operational performance. Develop analytics frameworks, use Tableau and Snowflake with cross-functional analytics teams, apply AI-enabled workflows, and communicate actionable recommendations to leadership to support staffing, prioritization, and strategic decision-making.

Performs data profiling, analysis, migration, quality assurance, and issue resolution using SQL and related tools. Creates Power BI or Tableau dashboards, manages and analyzes geospatial data through Esri platforms, documents solutions, and supports data analytics and application development offerings. The role collaborates with senior technical resources, requires strong organization and communication skills, and may involve up to 10% travel.

Supports insurance financial data analysis, source-to-target reconciliation, data conversions, reference data maintenance, and financial close activities. Validates premium calculations, investigates variances, supports General Ledger reporting, and documents audit and SOX evidence. Owns business and technical stories, manages development backlogs, coordinates testing and releases, and partners with finance, developers, QA teams, project managers, and senior leaders to deliver data and systems enhancements.

Analyzes customer experience, survey, operational, CRM, ERP, support, and financial data to build unified customer views and actionable insights. Responsibilities include cohort analysis, segmentation, predictive modeling, revenue attribution, CX dashboards, reporting automation, and closed-loop action tracking. The role partners with IT, data teams, Finance, and business stakeholders to improve data quality and translate complex analyses into executive recommendations supporting retention, expansion, and customer experience improvements.

Maintains configuration management records, databases, catalogs, engineering documentation, drawings, specifications, and project files. Prepares process and status reports, assigns and tracks document numbers, and reviews materials for accuracy and completeness. Performs document control and version control activities under supervision while following established configuration management procedures and detailed instructions.

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 data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

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.

Develops Power BI dashboards, SSRS reports, data models, KPIs, and healthcare analytics solutions. Uses advanced SQL and Python to transform, analyze, and optimize large healthcare datasets. Performs exploratory analysis, ensures data quality and governance, supports reporting and production issues, and communicates insights to technical, business, client, and executive stakeholders. Collaborates across Product, Engineering, Client Services, and Operations teams in Agile delivery environments.

Supports fintech partnership financial analytics through deal modeling, profitability analysis, forecasting, KPI monitoring, budget tracking, variance analysis, and executive reporting. Evaluates deposit balances, net interest income, fee revenue, pricing, and client economics across gaming, payments, acquiring, issuing, and banking-as-a-service verticals. Collaborates with Sales, Account Management, Finance, Treasury, Data teams, and leadership to inform deal decisions and improve portfolio performance.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Supports enterprise Salesforce and platform data operations, governance, quality, security, performance, reporting, and optimization. Performs data movement, validation, remediation, reconciliation, and SQL-based analysis while developing dashboards and executive presentations. Partners with business and technology stakeholders to resolve issues, improve processes, support compliance, and lead platform enhancement projects and workstreams.

Leads advanced analytics initiatives supporting Tribal healthcare programs and strategic decision-making. Develops predictive and prescriptive models, integrates complex data sources, establishes data quality frameworks, evaluates healthcare data resources, and produces reports and dashboards. Coordinates cross-functional projects, ensures federal compliance, supports quality measurement, mentors junior staff, and may serve as a team lead.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Analyzes and integrates complex datasets to produce actionable insights, reliable management reports, and data quality improvements. The role develops SQL-based analyses, monitors and configures systems, supports information systems projects, and communicates findings to technical and nontechnical stakeholders. Candidates must work independently, solve complex data challenges, and be proficient with Microsoft SQL Server, SQL Reporting Services, Excel, Access, databases, and a scripting language.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.