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Internship Sports Analytics Jobs in Naperville, IL

Breakthrough

Sports & Fitness Program Assistant

Chicago, IL · On-site

$36.60K - $46.40K/yr

Collaborate with other Program Assistants and interns * Support program operations through ... analyze data and make concise, accurate reports, and recommendations * Must be able to develop and ...

AEG

SponsorUniversity Regional Scout

Elk Grove Village, IL · On-site

$1.28K - $1.67K/wk

... sports teams, global brands, agencies, media companies, colleges, and vendors . Internship Overview ... Learn how to identify, analyze, and report sponsorship assets at venues. * All event tickets and ...

The Bradford Exchange

Marketing Intern

Niles, IL · On-site

$20/hr

... sports to bring unique and curated products to our customers across the globe. We are seeking ... Throughout your internship you will assist marketing managers in conducting quantitative analysis ...

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Internship Sports Analytics information

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$17

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How much do internship sports analytics jobs pay per hour?

As of May 27, 2026, the average hourly pay for internship sports analytics in Naperville, IL is $17.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Sports Analytics professional, and why are they important?

To thrive in a Sports Analytics internship, you need a strong background in statistics, data analysis, and a relevant field such as mathematics, data science, or sports management. Familiarity with analytical tools like Excel, R, Python, and sports data platforms is typically required. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for translating complex data into actionable insights. These skills are essential for supporting team strategies, player evaluation, and decision-making in a fast-paced sports environment.

What types of projects or tasks can I expect to work on during a sports analytics internship?

As a sports analytics intern, you'll typically assist in collecting, cleaning, and analyzing player or team data, often using statistical software and programming languages like Python or R. You may help create data visualizations, build predictive models, and prepare reports for coaches or analysts. Interns often work alongside experienced analysts, contributing to ongoing research projects or match preparations. This hands-on experience provides valuable exposure to both technical and collaborative aspects of sports analytics, setting a strong foundation for a future career in the field.

What are Internship Sports Analytics positions?

Internship Sports Analytics positions are entry-level roles designed for students or recent graduates interested in applying data analysis and statistical techniques to sports. Interns typically assist in collecting, processing, and interpreting data related to player performance, team strategy, or game outcomes. These internships provide hands-on experience with analytical tools and software used in the sports industry, often working closely with coaches, analysts, or data scientists. The goal is to gain practical skills and insights that can help inform decisions made by sports organizations.

What is the difference between Internship Sports Analytics vs Sports Data Analyst?

AspectInternship Sports AnalyticsSports Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in sports management, statistics, or related fields
Work EnvironmentInternship setting, often in sports teams, agencies, or analytics firmsFull-time role in sports organizations, analytics companies, or media outlets
ResponsibilitiesAssisting data collection, basic analysis, and reportingPerforming detailed data analysis, modeling, and insights generation

Internship Sports Analytics positions are entry-level, focusing on learning and supporting analytics tasks, while Sports Data Analysts are experienced professionals responsible for in-depth analysis and strategic insights in the sports industry.

What are popular job titles related to Internship Sports Analytics jobs in Naperville, IL? For Internship Sports Analytics jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Internship Sports Analytics jobs in Naperville, IL look for? The top searched job categories for Internship Sports Analytics jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Internship Sports Analytics jobs? Cities near Naperville, IL with the most Internship Sports Analytics job openings:
Internship Sports Analytics jobs near you
Infographic showing various Internship Sports Analytics job openings in Naperville, IL as of May 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $35,941 per year, or $17.3 per hour.

Quantitative Developer - New Graduate

Dime Line Trading

Chicago, IL

Full-time

Posted 9 days ago

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models.
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.
Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability
It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.