Analytics Engineer
The Denver Broncos are one of the most popular franchises in all of sports. Whether judged by the measure of wins and championships, attendance, national television exposure or by the Broncos' reputation locally and throughout the NFL, there are few parallels in the world of professional sports. We are dedicated to being the best team to cheer for, play for, and work for across all of sports. We are looking for employees who are passionate about what they do, have fun doing it, and proud to represent the Denver Broncos Football Club and Empower Field at Mile High.
JOB SUMMARY: The Analytics Engineer will help pioneer the next generation of analytics, automation, and data-driven decision making at the Denver Broncos. This role will develop and scale solutions that improve revenue generation, fan engagement, operational efficiency, and organizational decision making through a combination of analytics engineering, predictive modeling, and AI-enabled workflows.
This highly visible role will partner with stakeholders across Ticketing, Marketing, Partnerships, Operations, and Leadership to build trusted data products, predictive insights, and intelligent automations that transform how the organization interacts with data.
This is a full-time, onsite position based in Englewood, Colorado.
DUTIES AND RESPONSIBILITIES
Analytics Engineering & Business Intelligence - Build trusted data products that power business decisions
- Design, develop, and maintain analytics-ready datasets, semantic models, and reusable business logic that support dashboards, reporting, machine learning models, and AI-enabled workflows
- Build and maintain ETL pipelines and data integration processes that reliably ingest, transform, and load data into the enterprise data warehouse
- Partner with analysts, engineers, and business stakeholders to create scalable reporting solutions that improve visibility into ticketing, marketing, sponsorship, ticketing and operational performance
- Deliver actionable insights by gathering requirements, developing dashboards and visualizations, and supporting ad hoc analytical requests using best practices in data integrity, validation, analysis, and documentation
- Develop attribution and measurement frameworks that help quantify the impact of fan engagement, marketing communications, and lifecycle campaigns
- Develop lead scoring and prospecting solutions that support premium, sponsorship, and future stadium sales efforts
- Develop consumer insights solutions that uncover fan behaviors and trends to inform business strategy and growth initiatives
- Serve as a trusted analytics partner to stakeholders by translating business needs into scalable and measurable data solutions
Data Science & Predictive Analytics - Develop models that improve business outcomes
- Develop, maintain, and embed predictive models into solutions that support pricing, demand forecasting, fan engagement, and customer behavior use cases
- Enhance and manage existing...