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Internship Sports Analytics Internships Jobs (NOW HIRING)

DASH SPORTS LLC

Sports Management Internship

Duluth, MN · On-site

$16 - $18/hr

Sports Management Internship - DASH Sports Location: Twin Cities Metro & surrounding suburbs, MN Applicants must live in the Twin Cities area. Compensation: $16/hour (Paid Internship) Schedule:

DASH SPORTS LLC

Sports Management Internship

Chaska, MN · On-site

$16 - $18/hr

Sports Management Internship - DASH Sports Location: Twin Cities Metro & surrounding suburbs, MN Applicants must live in the Twin Cities area. Compensation: $16/hour (Paid Internship) Schedule:

DASH SPORTS LLC

Sports Management Internship

Austin, MN · On-site

$16 - $18/hr

Sports Management Internship - DASH Sports Location: Twin Cities Metro & surrounding suburbs, MN Applicants must live in the Twin Cities area. Compensation: $16/hour (Paid Internship) Schedule:

DASH SPORTS LLC

Sports Management Internship

Edina, MN · On-site

$16 - $18/hr

Sports Management Internship - DASH Sports Location: Twin Cities Metro & surrounding suburbs, MN Applicants must live in the Twin Cities area. Compensation: $16/hour (Paid Internship) Schedule:

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How much do internship sports analytics internships jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for internship sports analytics internships in the United States is $17.08, 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 is a sports analytics internship?

Sports Analytics Internships are temporary positions offered by sports organizations, teams, or related companies that provide students or recent graduates hands-on experience in analyzing sports data. Interns typically work with coaches, analysts, or front office staff to collect, organize, and interpret data about players, teams, or games. These internships are designed to help participants develop technical skills in areas like statistics, data visualization, and programming, while gaining practical insights into how analytics influences decision-making in sports. The experience can be valuable for those looking to pursue a career in sports analytics, data science, or sports management.

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

As a sports analytics intern, you'll typically assist with data collection, cleaning, and analysis for player performance, team strategies, or opponent scouting reports. You may work with large datasets, use statistical tools or programming languages like Python or R, and help create visualizations for coaching staff or front office decision-makers. Interns often collaborate with analysts, coaches, and sometimes athletes, offering a unique, hands-on experience within a professional sports environment. These projects provide valuable exposure to industry-standard methodologies and often serve as a springboard for further roles in sports analytics.

What are the key skills and qualifications needed to thrive as a sports analytics intern, and why are they important?

To thrive as a Sports Analytics Intern, you need a strong foundation in statistics, data analysis, and sports knowledge, often supported by progress toward a degree in statistics, mathematics, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and database management systems is typically required. Strong communication, attention to detail, and teamwork are valuable soft skills for presenting findings and collaborating with coaches or analysts. These skills enable interns to effectively interpret data, contribute actionable insights, and support decision-making in competitive sports environments.

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

AspectInternship Sports Analytics InternshipsSports Data Analyst Internships
Required CredentialsEnrolled in sports management, data science, or related fieldsSimilar; often requires coursework in statistics or data analysis
Work EnvironmentSports teams, leagues, or analytics firmsSports organizations, media outlets, or analytics companies
Industry UsageFocus on analyzing sports performance data for insightsFocus on interpreting sports data to inform decisions and strategies

Both internships involve analyzing sports data, but Sports Data Analyst Internships may emphasize more on data interpretation and reporting, while Sports Analytics Internships often focus on data collection and modeling. They share similar credentials and work environments, making them closely related roles for aspiring sports data professionals.

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Internship Sports Analytics Internships jobs near you
Infographic showing various Internship Sports Analytics Internships job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Quantitative Trading Internship - 2027

Chicago, IL

Dime Line Trading
See more jobs at Dime Line Tradingexternal

Internship

Re-posted 8 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

Apply