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Ticket Analytics Intern - Fall 2026Pacers Sports & Entertainment • Indianapolis, Indiana, United States
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Ticket Analytics Intern - Fall 2026

Pacers Sports & Entertainment
  • US
    Indianapolis, Indiana, United States
  • US
    Indianapolis, Indiana, United States
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Über

Internship Term Fall 2026 (September-December)
Internship Location On-site in Indianapolis, IN
Anticipated Time Commitment Approximately 20-25 hours per week
The Ticket Analytics Intern will be joining the Ticket Analytics team in a support role. Our team performs all tasks related to setting prices for Pacers and Fever tickets, along with other events happening in Gainbridge Fieldhouse. We provide analyses and recommendations for the leaders of the Ticket Sales department. In addition, we work closely with the Ticket Logistics team to implement changes to varying aspects of the ticket sales operation.
This position will aid our team in various projects and regular reports. They will learn how ticket analysis is done and how it is communicated to senior leadership. A candidate that has a strong analytical mind, technical skills and a willingness to learn is ideal for this opportunity.
Essential Duties & Responsibilities
Update and improve regular reports that track important ticket sales metrics.
Analyze single game ticket prices and recommend dynamic pricing changes.
Create dashboards that display pertinent data to managers by utilizing data from the data warehouse.
Construct projection models for ticket sales.
Improve processes for premium space price recommendations.
Other duties and projects as assigned.
Required Qualifications
Enrolled in college or university program as a junior, senior, or graduate student.
Currently pursuing a bachelor’s / master’s degree in a STEM field (math, data science, engineering, etc.) or a business major with a quantitative focus (finance, accounting)
Experience with Microsoft Excel
Analytical skills that include the ability to organize and interpret data
Strong communication skills that include the ability to communicate findings from data effectively and make recommendations based on those findings
Preferred Qualifications
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
Exposure to Archtics or other Ticketmaster tools
Physical And Environmental Demands The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit, stand, walk, use a computer, use a telephone, speak, hear, and write. The noise level in the office work environment is usually moderate and the noise level in the Fieldhouse / game environment is usually loud. The stress level may become high during certain times of the year.
Equal Opportunity Employer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.
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  • Indianapolis, Indiana, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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