Top Data Analyst Jobs in Denver & Boulder, CO

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 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.

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 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.

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.

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.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Oversee configuration data management, documentation repositories, and mission-critical configuration baselines. Develop lifecycle configuration management plans, coordinate change packages and technical documentation, support audits and program reviews, and ensure approved changes are accurately documented. Collaborate with procurement, engineering, and mission partners while maintaining baseline integrity, release management, change control, and quality assurance processes in a national security environment.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.

Own analytics as an internal data product across GTM, People, Finance, and related functions. Translate ambiguous business questions into self-service data solutions, deliver executive-ready narratives, manage stakeholder priorities, and guide data-driven decisions. Serve as a marketing analytics subject matter expert across attribution, campaign measurement, lead tracking, funnel analysis, predictive modeling, and experimentation. Use SQL, modern data-stack tools, BI platforms, and AI-assisted modeling to deliver actionable insights.

Supports data and information privacy activities within a healthcare revenue cycle technology organization. The posting provides limited role-specific responsibilities or qualifications, but the position likely contributes to privacy compliance, data protection, and risk management initiatives.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.

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.

Leads complex data-analysis initiatives supporting reporting, analytics, and operational decisions. Designs and optimizes SQL-based solutions, data models, stored procedures, Power BI reports, dashboards, and governed datasets. Analyzes healthcare and pharmacy benefit management data, resolves data-quality issues, establishes analytical standards, supports regulatory and client reporting, and mentors analysts. Partners with stakeholders to translate ambiguous business needs into scalable analytical approaches and actionable recommendations.

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.