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Sport Analytics Jobs (NOW HIRING)

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

Required : • Passionate about advancing women's sports and leveraging data to elevate performance ... or analytics roles within professional football or elite sports. • Hands-on background with ...

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Sport Analytics information

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$64.5K

$125.3K

$179K

How much do sport analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for sport 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.

Is sport analytics in demand?

Sport analytics is in increasing demand as teams and organizations seek data-driven insights to improve performance and decision-making. Professionals in this field often use statistical tools, programming skills, and sports knowledge, with job growth driven by the expanding use of technology in sports industries.

What is sport analytics?

Sport analytics is the process of collecting, analyzing, and interpreting data related to sports performance, strategies, and outcomes. It involves using statistical and mathematical methods to gain insights that can help teams, coaches, and athletes make informed decisions. Sport analytics can be applied to player performance, injury prevention, game tactics, and business aspects such as fan engagement. The field is growing rapidly with advancements in technology and data collection tools, making it an essential part of modern sports organizations.

What are careers in sport analytics?

Careers in sport 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, often working 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.

Will sport analytics jobs be replaced by AI?

Sport analytics jobs involve analyzing sports data to inform decisions, and while AI tools can automate data processing and pattern recognition, human expertise remains essential for interpretation and strategic insights. AI is expected to augment rather than replace sport analysts, who need skills in data analysis, statistics, and sports knowledge. Professionals in this field should stay updated on AI tools and develop complementary skills to remain competitive.

Do sport analytics make good money?

Sport analytics professionals can earn competitive salaries, especially with experience, advanced degrees, and proficiency in data analysis tools like R or Python. Entry-level roles may start lower, but experienced analysts working with professional teams or leagues can earn six-figure incomes. Compensation varies based on the employer, location, and individual skills.

What are some common challenges faced by professionals working in sport analytics, and how can they be addressed?

Professionals in sport analytics often face challenges such as integrating data from multiple sources, ensuring data accuracy, and effectively communicating insights to coaches and athletes. Navigating large datasets and translating technical findings into actionable strategies for non-technical team members requires strong collaboration and communication skills. Staying updated with evolving technologies and analytical methods is also crucial. Addressing these challenges typically involves ongoing professional development, adopting robust data management practices, and fostering strong relationships with other departments within the organization.

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

To thrive as a Sports Analyst, you need strong statistical analysis, data interpretation, and a solid understanding of sports concepts, often supported by a degree in statistics, mathematics, or sports management. Familiarity with analytics tools like R, Python, SQL, and sports-specific software is typically required, as are certifications in data analytics. Critical thinking, effective communication, and attention to detail are standout soft skills in this role. These skills are vital for turning complex data into actionable insights that drive team performance and strategic decision-making.

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

AspectSport AnalyticsSports Data Analyst
Required CredentialsDegree in Sports Management, Statistics, or related fields; often certifications in data analysisSimilar credentials; degrees in Statistics, Data Science, or related fields; certifications in data tools
Work EnvironmentSports teams, leagues, or organizations; focus on performance and strategySports organizations, media, or analytics firms; focus on data interpretation and reporting
Employer & Industry UsageUsed by sports teams, leagues, and analytics companies for strategic decisionsEmployed by sports organizations, media outlets, and analytics firms for insights and reporting

Sport Analytics and Sports Data Analyst roles share similar educational backgrounds and work environments, often overlapping in skills and employer types. However, Sport Analytics typically emphasizes strategic decision-making and performance analysis, while Sports Data Analysts focus more on data collection, interpretation, and reporting. Both roles are vital in the sports industry for enhancing team performance and audience engagement.

More about Sport Analytics jobs
What cities are hiring for Sport Analytics jobs? Cities with the most Sport Analytics job openings:
What states have the most Sport Analytics jobs? States with the most job openings for Sport Analytics jobs include:
What job categories do people searching Sport Analytics jobs look for? The top searched job categories for Sport Analytics jobs are:
Sport Analytics jobs near you
Infographic showing various Sport Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Quantitative Sports Researcher - Graduate Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 5 days 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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