Top Analytics Jobs in Denver & Boulder, CO

Leads a data analytics team comprising data scientists, BI analysts, and AI developers. Provides mentorship, technical oversight, workflow optimization, performance management, stakeholder communication, project prioritization, and governance stewardship. Ensures analytical integrity, data quality, privacy, AI validation, ethical practices, and alignment with organizational goals. Partners with data engineering and executives to translate business needs into technical objectives and actionable insights.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Leads Ibotta’s client analytics strategy, measurement framework, and analytics team. Oversees campaign measurement, sales and consumer analysis, reporting, client presentations, and data visualization requirements. Builds senior client and agency relationships, develops measurement best practices, drives strategic insights for CPG advertisers, and partners with Revenue, Marketing, and Product teams. The role requires executive communication, deep media measurement expertise, predictive analytics experience, and at least 25% travel.

Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.

Analyzes customer behavior, marketing performance, and business trends to deliver actionable insights. Builds predictive models, forecasts, dashboards, data pipelines, and self-service analytics solutions. Designs experiments, performs statistical and hypothesis testing, evaluates attribution and customer metrics, and communicates findings through concise presentations to stakeholders and leadership. Collaborates across marketing, partnerships, finance, sales, product, engineering, and machine learning teams to support strategic decision-making.

Leads partner-facing analytics for Ibotta’s publisher network, including performance reporting, forecasting, experimentation, attribution, measurement, financial modeling, and executive storytelling. Advises strategic partners, analyzes commercial economics, develops scalable analytics solutions, and shapes the analytics roadmap. The role also mentors team members, supports thought leadership, and collaborates with Finance, Business Development, and Partner Management. This is a hybrid Denver role requiring up to 20% travel.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Leads CookUnity’s Advanced Analytics function, setting strategy and partnering with Product, Finance, Operations, Marketing, and leadership. The role involves experimentation, causal inference, retention and growth analysis, marketing measurement, product impact evaluation, and translating insights into business decisions. This hands-on player-coach will guide complex analytical work, develop analysts, improve analytical rigor, and shape team structure and priorities.

Supports Somali-speaking learners in a fully virtual data analytics program. Responsibilities include answering questions, facilitating breakout rooms, holding office hours, reviewing materials, grading assignments, providing feedback, recording walkthroughs, monitoring learner progress, and escalating concerns. The role also requires supporting live sessions, communicating in Somali and English, attending onboarding and staff meetings, and submitting weekly progress reports.

Analyzes business and operational needs, gathers requirements, evaluates data and systems, and recommends technology solutions. Develops advanced SQL queries, reports, system models, and process improvements. Responsibilities include troubleshooting, data architecture integration, software and hardware solution design, database analysis, automation using scheduling or RPA tools, and project leadership. Senior levels guide other analysts and assess technology’s business impact.

Owns analytical projects across customer onboarding, transaction behavior, and platform operations. Designs dashboards, KPI frameworks, reporting workflows, and data pipelines while delivering actionable insights. Partners with Engineering, Product, Payment Operations, Compliance, and Finance; mentors colleagues; manages project scope and priorities; resolves ambiguity; and drives cross-functional alignment. Requires advanced SQL and data modeling skills, BI tool experience, analytical scripting familiarity, FinTech domain knowledge, and 4+ years of analytics experience.

Leads business and data analytics strategy for P&C pricing, partnering with Pricing, Actuarial, technology, and executive stakeholders. Oversees requirements gathering, portfolio prioritization, data platforms, reporting, governance, analytics delivery, risk management, and modernization initiatives. Guides high-performing teams, translates complex business needs into technical solutions, influences architecture decisions, and uses data-driven insights to support strategic business outcomes.

Supports healthcare implementation projects, business workflow documentation, process improvement, work plans, and deliverables. Reviews large datasets from multiple sources to identify outliers, monitor trends, and prepare state-mandated reports. The internship provides experiential learning for undergraduate students interested in healthcare or data analytics.

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

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.

Analyze startup user and product data, identify trends and drivers, and turn findings into strategic recommendations. The role owns key metrics and dashboards, leads analytical deep dives, sizes opportunities, evaluates product tradeoffs, supports roadmap prioritization, and develops external-facing insights about startups in partnership with marketing and communications.

Leads pharmacy and healthcare analytics projects, develops reporting frameworks, analyzes claims and utilization data, and delivers actionable insights for clients and leadership. The role translates complex findings into recommendations, ensures data quality and compliance, collaborates cross-functionally, presents results, mentors analysts, and improves analytical standards and processes.

Leads pricing and product analytics strategy for Auto and Property teams. Develops strategic plans, business cases, analytical frameworks, and outcome measures; evaluates profitability, pricing, risk, marketing, sales, and member experience insights. Influences executive decisions through quantitative and qualitative analysis, storytelling, and stakeholder engagement. Establishes operational processes, tracks initiatives, mentors team members, and ensures compliance with risk policies.

Analyze large and complex datasets for consumer and mortgage credit-loss forecasting. Acquire and integrate data, identify trends, apply statistical techniques, interpret forecast outcomes, assess financial impacts, and provide actionable recommendations. The role also supports model risk governance, monitors recommendation results, ensures data compliance, and communicates insights to business partners.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, campaign reporting, experimentation, and lifecycle analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and generate actionable insights. Builds churn, retention, segmentation, and LTV models while evaluating paid acquisition and customer growth opportunities using SQL, Python, BI tools, marketing platforms, and modern AI-enabled workflows.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Analyze complex healthcare, operational, clinical, utilization, workforce, and financial datasets to generate actionable insights. Develop performance measures, benchmarks, analytical models, dashboards, and stakeholder-ready presentations. Validate data integrity, conduct custom analyses, identify performance and cost-optimization opportunities, and translate findings into strategic recommendations. Collaborate with cross-functional stakeholders and automate analytical workflows and reporting processes to support healthcare quality, operational effectiveness, financial performance, and organizational growth.

Leads advanced analytics across the organization, owning MAU forecasting and growth models, experimentation standards, and causal inference methods. Establishes analytical best practices, reviews high-stakes analyses, partners with data and product teams, and scales recurring work through AI tooling. Mentors data professionals and translates complex statistical findings into actionable leadership recommendations.

Collect, clean, organize, and analyze data from multiple sources; identify trends and insights; support dashboards, reports, and visualizations; validate data accuracy; document findings; and collaborate with cross-functional stakeholders to communicate results.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.