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Employer
Ticket Analytics Intern
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Job Description
Ticket Analytics Intern – Fall 2026 | Pacers Sports & Entertainment
The Tone:
This is an internship at Pacers Sports & Entertainment, located in Indianapolis, IN. Pacers Sports & Entertainment (PS&E) is dedicated to delivering best-in-class sports and entertainment experiences as the home of the Indiana Pacers, Indiana Fever, Noblesville Boom, Pacers Foundation, and Gainbridge Fieldhouse. This role supports the Ticket Analytics team, which is crucial for setting ticket prices for various events and providing key analyses to guide ticket sales strategies. The intern will learn how critical data analysis informs leadership decisions and directly impacts operations.
The TL;DR
• Role: Internship
• Type: Part-time (approximately 20-25 hours per week)
• Location: In-person, Indianapolis, IN
• Team: Ticket Analytics team (support role)
• Mission: To aid the team in various projects and regular reports, learning how ticket analysis is done and how it is communicated to senior leadership, while assisting with setting prices for tickets and providing recommendations to sales leaders.
• Tech Stack: Microsoft Excel, Python, R, Java, SQL, Power BI, Tableau, Looker, Archtics, Ticketmaster tools
What You’ll Actually Do
• Reporting: Update and improve regular reports that track important ticket sales metrics.
• Pricing Analysis: Analyze single game ticket prices and recommend dynamic pricing changes.
• Dashboard Creation: Create dashboards that display pertinent data to managers by utilizing data from the data warehouse.
• Model Construction: Construct projection models for ticket sales.
• Process Improvement: Improve processes for premium space price recommendations.
The Must-Haves
• Background: Currently enrolled as a junior, senior, or graduate student in a college or university program, pursuing a bachelor’s or master’s degree in a STEM field (math, data science, engineering, etc.) or a business major with a quantitative focus (finance, accounting).
• Experience: Experience with Microsoft Excel.
• Skills: Analytical skills including the ability to organize and interpret data, along with strong communication skills to effectively communicate data findings and make recommendations.
• Bonus: Exposure to at least one programming language (Python, R, Java, etc.) and SQL, exposure to Data Visualization tools (Power BI, Tableau, Looker, etc.), experience in regression and other machine learning techniques, and exposure to Archtics or other Ticketmaster tools.
