Top Data Analyst Jobs in Denver & Boulder, CO

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

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.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

Analyze, clean, transform, and integrate data from multiple sources; identify trends, anomalies, KPIs, and business insights; and create scalable Tableau dashboards, reports, and visualizations. Develop Tableau Prep workflows, support data governance, optimize data retrieval with engineering and IT teams, and communicate actionable recommendations to technical and executive stakeholders. The role also uses statistical analysis, ServiceNow operational analytics, and business intelligence tools.

Leads business analytics engagements, translating stakeholder needs into data requirements, models, dashboards, forecasts, statistical analyses, and actionable recommendations. Performs data exploration, querying, modeling, and visualization across large datasets; supports data governance, quality, security, and stewardship. Mentors analysts, communicates insights to leaders, collaborates with enterprise data teams, and identifies opportunities to apply machine learning in business decision-making.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Supports financial planning and analysis for agricultural operations, including budgeting, forecasting, management reporting, dashboard maintenance, capital-spending analysis, feed reconciliation, and data-warehouse support. The role works with crop, cattle, milk, and feed-related financial data to identify performance improvements. It requires strong quantitative skills, Microsoft Excel proficiency, attention to detail, and the ability to work collaboratively with guidance.

Analyzes complex business data to identify trends, develop models, dashboards, and actionable insights. Collaborates with leaders and cross-functional teams, supports data governance, validates data integrity, applies statistical and predictive techniques, and communicates findings to technical and non-technical audiences. Provides mentorship to junior analysts and may lead projects. Occasional business travel may be required.

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation. Develop scalable product metrics, AI-powered analytics automations, self-service analytics experiences, and trusted data models. Partner with Product, Engineering, Go-to-Market, and data teams to solve complex business problems, influence senior stakeholders, and deliver executive-ready recommendations.

Analyzes ESHS and sustainability data, maintaining analytics pipelines and developing dashboards, KPI reports, predictive models, and data-governance standards. Uses statistics, machine learning, and AI to evaluate program performance and identify corrective actions. Partners with subject matter experts, AI teams, and cross-functional stakeholders to translate business needs into data-driven solutions, communicate executive insights, and support enterprise analytics strategy and adoption.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Own and improve financial planning, forecasting, reporting, and analytical tools. Serve as the OneStream CPM subject matter expert, maintain data pipelines and models, build KPI dashboards, support financial reviews and board reporting, and lead Analysis of Change processes. The role connects enterprise systems, Databricks, and CPM while partnering cross-functionally and maintaining analytical documentation and standard operating procedures.

Analyze mobile app activation, feature adoption, onboarding, engagement, retention, funnels, cohorts, and A/B tests. Build SQL and dbt models, dashboards, and self-service reports using BigQuery and GCP. Partner with product and engineering teams on instrumentation, identify data issues, automate reporting with AI tools, and communicate actionable insights to nontechnical stakeholders.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Supports the Indian Health Service EHR modernization program by mapping legacy reports to new Oracle Health functionality, explaining reporting and analytics capabilities, documenting workflows, supporting data governance, and gathering requirements. Serves as a healthcare IT subject matter expert coordinating with stakeholders, vendors, and implementation teams. Requires extensive healthcare reporting and analytics experience, Oracle Health EHR knowledge, complex project management experience, Public Trust Level 5 eligibility, and travel up to 25%.

Manages sales incentive compensation data, Workday quality, Fusion configuration, eligibility records, KPI processes, financial modeling, reporting, audits, payroll uploads, and incentive payments. The role supports plan implementation, data validation, participant communications, system training, employee movement updates, and quarterly calculations. It collaborates with People Operations, Finance, HR, leadership, and external vendors to ensure accurate incentive payouts and reporting.

Supports installation, maintenance, optimization, and testing of clinical EHR applications. Analyzes clinical data, develops reports, abstracts data, and translates workflows into system requirements. Partners with providers and operational leaders to improve care processes, regulatory compliance, and outcomes. Provides training, troubleshooting, system updates, and 24/7 on-call support while protecting patient health information. The role also applies nursing expertise to clinical IT solutions and leads data and system projects.

The Finance Data Analyst manages finance ETL processes, reconciles enterprise data warehouse outputs, investigates discrepancies, and validates insurance financial data. Responsibilities include SQL-based analysis of premiums, commissions, taxes, fees, and payments; building automated controls and exception reports; supporting Finance reporting and close activities; documenting data processes; and partnering with Finance and data engineering teams to improve data quality and reliability.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Performs post-visit clinical research data management and imaging quality review, including uploading echo images, resolving data queries, checking completeness and integrity, supporting database locks, maintaining trial documents, escalating data issues, identifying potential adverse events, and training sonographers. Collaborates with cardiology, sonography, clinical operations, and project management teams while ensuring compliance with GCP and applicable regulations.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.