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Graduate Sports Analytics Jobs (NOW HIRING)

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Clinical (non-tenure) faculty are expected to teach undergraduate and graduate courses in statistics, sport analytics, and/or sport science, depending on program needs. * A strong emphasis is placed ...

St. Bonaventure University

Graduate Assistant

NY · On-site

$16 - $16.50/hr

Business Analytics (MS) - Online * Master of Business Administration (MBA) - Ground/Online ... Sports Journalism (MA) - Online * Cybersecurity (MS) - Online * Master of Public Health (MPH)

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$64.5K

$125.3K

$179K

How much do graduate sports analytics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for graduate sports analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is a graduate sports analytics role?

Graduate sports analytics roles are entry-level positions for recent graduates that focus on collecting, analyzing, and interpreting data related to sports performance, strategy, and outcomes. These analysts use statistical methods, data visualization, and software tools to help teams, coaches, and organizations make data-driven decisions. Typical duties include preparing reports, building predictive models, and collaborating with sports scientists, coaches, and management to improve team or athlete performance. These roles often require strong analytical skills, proficiency with programming languages like Python or R, and a passion for sports.

What types of projects or tasks can a graduate in sports analytics expect to work on during their first year?

As a graduate in sports analytics, you can expect to work on a variety of projects, such as collecting and cleaning performance data, creating statistical models to analyze player and team performance, and preparing visual reports for coaching staff or management. You may also assist in real-time data tracking during games and contribute to scouting and recruitment analysis. Collaboration with coaches, data scientists, and IT teams is common, offering valuable learning opportunities and professional growth early in your career.

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

To thrive as a Graduate Sports Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or sports science. Familiarity with analytical tools like Excel, R, Python, and sports analytics software is commonly required. Strong communication, teamwork, and problem-solving abilities help you interpret and present data-driven insights effectively. These skills are crucial for transforming complex data into actionable strategies that enhance team performance and decision-making.

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

AspectGraduate Sports AnalyticsSports Data Analyst
Required CredentialsDegree in sports management, data science, or related field; often entry-levelDegree in statistics, data analysis, or related; may require experience
Work EnvironmentInternships, entry-level roles in sports teams, analytics firms, or universitiesProfessional sports organizations, analytics companies, or media outlets
Industry UsageUsed for educational purposes, internships, and entry-level positionsApplied in real-world sports data analysis, reporting, and decision-making

While Graduate Sports Analytics typically refers to entry-level or educational roles preparing for a career in sports data analysis, Sports Data Analyst is a more experienced role focused on analyzing and interpreting sports data for strategic decisions. Both roles share similar credentials and work environments but differ in experience level and application scope.

Is a graduate sports analytics degree worth it?

A graduate sports analytics degree can enhance job prospects in roles such as sports data analyst or performance analyst by providing advanced skills in data analysis, statistics, and programming tools like R or Python. It often leads to higher earning potential and opportunities in professional sports teams, leagues, or media organizations, but the value depends on individual career goals and industry demand.

Is sports analytics in demand?

Sports analytics is in high demand as teams and organizations increasingly rely on data-driven insights to improve performance and decision-making. Professionals in this field often use statistical tools, programming skills, and sports knowledge to analyze player and team data, with job opportunities growing across professional, college, and amateur sports sectors.

What are careers in sports analytics?

Careers in sports analytics involve analyzing sports data to evaluate player performance, team strategies, and game outcomes. Professionals typically use statistical tools, programming languages, and data visualization software, and often work for sports teams, leagues, or media organizations. Roles include sports analyst, data scientist, and performance analyst, requiring strong analytical skills and knowledge of sports metrics.

What can you do with a master's in sports analytics?

A master's in sports analytics prepares individuals for roles such as sports data analyst, performance analyst, or operations analyst within sports teams, leagues, or media organizations. These roles involve analyzing player and team performance data using tools like R or Python, and often require strong statistical and programming skills. Graduates can work in areas like player evaluation, game strategy, or fan engagement, often requiring knowledge of sports science and data visualization.
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What states have the most Graduate Sports Analytics jobs?

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Graduate Sports Analytics jobs near you
Infographic showing various Graduate Sports Analytics job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Quantitative Sports Researcher - Graduate Hire

Philadelphia, PA • On-site

Susquehanna International Group, LLP
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Group, LLPexternal

Full-time

Re-posted 20 hours ago

Job description

Overview
At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team as a Quantitative Researcher, you will be part of a group that is passionate about mathematics, gaming, and technology.
What you'll do:
  • Immerse yourself in sports analytics research
  • Empirically test ideas using real industry data
  • Write programs to implement models and simulate outcomes
  • Discuss and collaborate with fellow researchers, traders, and technologists

What we're looking for
  • Graduating Master's or PhD students in a quantitatively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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