Fall 2026 Intern, Analytics

Excel Sports Management; Chicago (IL); On-site; USD 19,286 - 27,552; Part time

Benefits offered by this job

Paid internship

Job summary

Excel Sports Management in Chicago is offering a paid Analytics Intern position. The role focuses on evaluating sponsorship opportunities and supporting data-driven sponsorship valuations within the sports industry.

You will work with a team to analyze datasets, perform market research, and contribute to ROI assessments of partnerships, gaining practical experience in sports analytics.

Qualifications

• Pursuing a bachelor's or master's degree in a quantitative field; recent grads may apply.
• Strong analytical skills with data-driven decision making.
• Proficiency with Excel.
• Familiarity with SQL; working knowledge of Python, R, and GenAI a plus.
• Excellent verbal and written communication.
• Attention to detail and ability to manage multiple tasks.
• Interest in sports analytics and sponsorship valuation preferred.
• Prior experience in data management or database projects is a plus.

Responsibilities

• Database Creation and Management.
• Data Collection and Analysis.
• Market Research.
• Partnership Support and Evaluation.
• AI Automation and Agentic Workflow Management.
• Cross-Functional Collaboration.

Skills

Excel

Analytical thinking

Communication

Time management

Sports analytics interest

SQL

Python

R

GenAI

Education

Bachelor's or Master's degree student

Tools

SQL

Python

R

Job description

About Excel Sports Management

Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve.

Excel Sports Management is an Equal Opportunity Employer (EOE).

Intern Program Overview

Our Intern program is a paid opportunity that allows participants to contribute to the organization’s success while at the same time applying learnings from the classroom. Interns are responsible for their individual transportation and housing needs.

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.

Our 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 must be coordinated with Advisor’s schedules.

Eligibility

• 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.

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.

Responsibilities

• 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.

Compensation

The pay for this position is: $17.05 per hour. Please note that the foregoing compensation information is a good‑faith assessment associated with this position only and is provided pursuant to the California and New York City Salary Transparency Law.

Sponsorship

This position is not eligible for sponsorship.

Equal Employment Opportunity Statement

Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.