The Pacers and Fever ticket sales team is looking to solve the problem of optimizing ticket prices and sales operations, and the Ticket Analytics Intern will aid in this effort by providing analyses and recommendations to senior leadership.
Requirements
- Experience with Microsoft Excel
- 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
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
- 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)
- Strong communication skills that include the ability to communicate findings from data effectively and make recommendations based on those findings
- Analytical skills that include the ability to organize and interpret data
