Fall 2026 Intern, Analytics

Intern Expectations

• All Interns are expected to work 24-29.9 hours a week during the session.
• While each intern will be working with a specific division, they will have the opportunity to learn about other areas within Excel, through lunch and learns held throughout the semester.

Important Dates

• The Fall Program runs from Monday, September 14th, 2026 through Thursday, December 10th, 2026.

Office Hours

• 9:00 am - 6:00 PM CT, Monday-Friday OR as agreed upon with advisor.

Days in Office

• Days in office must be coordinated with Advisor's schedules.

Our Interns Must

• Be available to work under 30 hours per week.
• Be available to report to the Chicago office approximately 3-days a week.
• Have a senior standing in college (must have completed your junior year of undergrad) OR Be enrolled in a graduate school OR Have a bachelor's or postgraduate degree.

Interview Process

• Applications will close on August 14th, 2026.
• If selected, the expectation is that offers will be extended mid to late August.
• The program will begin on September 14th, 2026.

Divisions Role Objectives and Expectations

• As an Excel Analytics associate, you will contribute to the evaluation and analysis of sports sponsorship opportunities and assist in determining the value and impact of sponsorships within the sports industry.
• This internship provides a unique opportunity to gain practical experience in sports analytics, specifically focusing on the valuation of sponsorships and partnerships.
• You will work closely with a team of professionals passionate about optimizing sponsorship strategies and maximizing return on investment for organizations and its partners.
• Some responsibilities include:
• Database Creation and Management
• Data Collection and Analysis
• Market Research
• Partnership Support and Evaluation
• AI Automation and Agentic Workflow Management
• Cross-Functional Collaboration

Qualifications

• Currently pursuing a bachelor's or master's degree in statistical/quantitative analysis, business analytics, information systems, business, finance, economics, sports management, or a related field.
• Recent graduates may also be considered.
• Strong analytical skills with a passion for utilizing data to drive business decisions and financial evaluations.
• Proficiency with Excel
• Familiarity with database structures and querying syntax e.g.SQL, with working knowledge of Python, R, and GenAI a plus
• Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner.
• Strong attention to detail and ability to manage multiple tasks in a fast-paced environment.
• Experience or interest in database management and data organization.
• Passion for sports and a basic understanding of the sports industry and sponsorship landscape is preferred.
• Prior experience or coursework in sports analytics, sponsorship valuation, or related fields is a plus.

The pay for this position is

• $17.05 per hour.