Ticket Analytics Intern

Job Description

Ticket Analytics Intern | Indiana Fever

The Tone:
This is an internship at Indiana Fever, located on-site in Indianapolis, IN. The organization, dedicated to delivering best-in-class sports and entertainment experiences, operates as part of Pacers Sports & Entertainment, home to the Indiana Pacers, Indiana Fever, and Gainbridge Fieldhouse. This role is a key support position within the Ticket Analytics team, which is instrumental in setting prices for both Indiana Pacers and Indiana Fever tickets, alongside other events held at Gainbridge Fieldhouse. The internship is crucial as it aids in various analytical projects and regular reporting, providing foundational support for data-driven decisions that impact ticket sales strategies and operational efficiency. It offers a valuable opportunity to learn the intricacies of ticket analysis and understand how complex data insights are synthesized and effectively communicated to senior leadership within a professional sports environment.

The TL;DR
• Role: Internship
• Type: Part-time, Seasonal
• Location: In-person, Indianapolis, IN

• Team: Support role within the Ticket Analytics team.
• Mission: Aid the team in various projects and regular reports, helping to analyze ticket pricing, develop sales projections, and enhance operational processes for ticket sales.
• Tech Stack: Microsoft Excel, Python, R, Java, SQL, Power BI, Tableau, Looker, Archtics, Ticketmaster tools, Data Warehouse

What You’ll Actually Do
• Reporting Development: Update and improve regular reports that track important ticket sales metrics, providing consistent insights into performance.
• Dynamic Pricing Analysis: Analyze single game ticket prices and recommend dynamic pricing changes to optimize revenue and attendance across events.
• Data Dashboard Creation: Create comprehensive dashboards that display pertinent data to managers, utilizing information directly from the data warehouse for clear visualization.
• Sales Projection Modeling: Construct projection models for ticket sales, aiding in future planning and strategic decision-making.
• Premium Process Enhancement: Improve existing processes for generating premium space price recommendations, refining accuracy and efficiency.

The Must-Haves
• Background: Enrolled in a college or university program as a junior, senior, or graduate student, currently pursuing a bachelor’s or master’s degree in a STEM field (such as math, data science, or engineering) or a business major with a quantitative focus (like finance or accounting).
• Experience: Experience with Microsoft Excel.
• Skills: 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.
• Bonus: Exposure to at least one programming language (such as Python, R, or Java) and SQL; Exposure to Data Visualization tools (such as Power BI, Tableau, or Looker); Experience in regression and other machine learning techniques; Exposure to Archtics or other Ticketmaster tools.