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Internship Sports Analytics Jobs (NOW HIRING)

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Internship Sports Analytics information

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How much do internship sports analytics jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship sports analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 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 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 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.

More about Internship Sports Analytics jobs
What cities are hiring for Internship Sports Analytics jobs? Cities with the most Internship Sports Analytics job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
What states have the most Internship Sports Analytics jobs? States with the most job openings for Internship Sports Analytics jobs include:
What job categories do people searching Internship Sports Analytics jobs look for? The top searched job categories for Internship Sports Analytics jobs are:
Internship Sports Analytics jobs near you
Infographic showing various Internship Sports Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 7 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science