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Professional Sports Statistician Jobs (NOW HIRING)

Stats Perform

Junior Sales Executive

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data ... We then offer coaches, teams, professional bodies, and media channels around the world, access to ...

Lesley University

Sports Information Director

Cambridge, MA · On-site

$28.97 - $32.92/hr

... statistician at Lesley home contests; overseeing the nomination process for all-conference ... professional activity, and/or service must be included for full consideration. At Lesley University ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

... international professional sports leagues, players associations, teams, colleges, college ... Perform statistical analyses and exploratory data analysis to identify trends, patterns, and ...

RightsHelper

VP, Partner Data

$165K - $185K/yr

Overseeing critical data from our industry leading professional sports organization partners, the ... Familiarity and good judgment with a broad range of statistical modeling methodologies and tools is ...

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Professional Sports Statistician information

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$50.5K

$86.9K

$116.5K

How much do professional sports statistician jobs pay per year?

As of Aug 15, 2026, the average yearly pay for professional sports statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Professional Sports Statistician, you need a strong background in mathematics, statistics, and data analysis, often supported by a relevant degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as R, Python, or SAS), sports analytics platforms, and database management systems is commonly required. Attention to detail, strong communication skills, and the ability to work under pressure are essential soft skills that set outstanding statisticians apart. These skills and qualifications are critical for accurate data analysis, effective communication of insights, and supporting strategic decision-making in the fast-paced sports industry.

What is the difference between Professional Sports Statistician vs Sports Data Analyst?

AspectProfessional Sports StatisticianSports Data Analyst
Required CredentialsBachelor's degree in statistics, sports management, or related field; often certifications in data analysisBachelor's degree in statistics, data science, or related field; certifications in data analysis or visualization
Work EnvironmentSports teams, leagues, or sports organizations; game venuesSports organizations, media companies, or analytics firms; office or remote
Employer & Industry UsagePrimarily in professional sports teams and leaguesBroader industry including media, betting companies, and sports agencies

The main difference is that a Professional Sports Statistician focuses specifically on analyzing and interpreting sports data for teams and leagues, often working directly with athletes and coaches. A Sports Data Analyst has a broader role, working across various industries that utilize sports data, including media and betting companies. Both roles require strong analytical skills and relevant credentials, but their work environments and primary employers differ.

How does a professional sports statistician typically collaborate with coaches and analysts during a sports season?

Professional sports statisticians work closely with coaches and analysts by providing real-time data, performance metrics, and historical analyses to inform game strategies and player development. They often attend games or practices to collect and interpret data, then present findings in clear, actionable formats such as reports or visual dashboards. Regular communication and teamwork are essential, as statisticians must tailor their insights to meet the specific needs of coaching staff and analysts, helping the team make informed decisions throughout the season.

What is a professional sports statistician?

Professional sports statisticians are experts who collect, analyze, and interpret data related to sports events and athletes' performance. They provide critical insights by tracking scores, player statistics, and game trends, which are used by teams, coaches, broadcasters, and sports analysts to inform decisions and strategies. Their work involves using mathematical models, statistical software, and sometimes even real-time data capture during games to ensure accuracy and reliability of information. Sports statisticians play a vital role in enhancing the understanding of the game for both professionals and fans.
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Professional Sports Statistician jobs near you
Infographic showing various Professional Sports Statistician job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Senior Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC • On-site

$150K - $190K/yr

Full-time

Posted 12 days ago

Job description

Monumental Sports & Entertainment (MSE) is one of the leading integrated sports and entertainment companies globally. MSE's portfolio spans premier professional sports teams, world-class venues, and next-generation media properties, with marquee assets including the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League's Capital City Go-Go, Capital One Arena, and Monumental Sports Network, along with an investment in Team Liquid.
Rooted in the nation's capital, MSE brings Washington, D.C's distinct influence, ambition, and leadership to the global sports and entertainment landscape. The company harnesses the power of its platform to drive continuous innovation and deliver extraordinary experiences that inspire and unite our community, our fans, and our people.
Our success is powered by talented people who bring passion, creativity, and collaboration to everything they do. If you're looking to build your career in a dynamic, fast-paced organization that's shaping the future of sports and entertainment, we'd love to hear from you.
Position Overview:
The Senior Data Engineer is responsible for architecting, building, and maintaining data infrastructure in a greenfield stack. This position will design and architect data infrastructure to handle large datasets with varying data including basketball statistical data from the NBA and other leagues, video data, body pose tracking data, basketball qualitative data (e.g. scouting reports), and health and performance data. These datasets will be used by research analysts and data scientists to perform basketball data analysis, as well as by software developers for web and mobile applications.
Do you have a passion for sports!? Are you a creative problem-solver who enjoys building and optimizing data solutions? We'd love to hear from you!
Responsibilities:
  • Architect the data engineering infrastructure to be performant, reliable, and scalable.
  • Lead data engineering efforts, including making decisions on technologies, providers, database design, partitioning and indexing strategies, and software patterns.
  • Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
  • Optimize pipelines and data storage to handle large datasets.
  • Build thorough data validation procedures to ensure data is of the highest quality.
  • Implement medallion architectures to organize our data structure and provide data lineage.
  • Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
  • Maintain knowledge of emerging technologies like generative AI and make decisions on how to use them.
  • Other duties as assigned.
Minimum Qualifications:
  • 5+ years of professional software development experience.
  • Strong proficiency with a variety of transactional (OLTP) and analytical (OLAP) databases.
  • Sophisticated knowledge of Python and SQL.
  • Experience with data engineering frameworks such as Prefect, DBT, etc.
  • Experience with open-source backend frameworks such as Rails, Django, Next.js, etc.
  • Diverse set of infrastructure experience with both PaaS and IaaS platforms and the ability to dynamically recommend infrastructure stacks and manage associated budgets.
  • Experience with Docker.
  • Experience working with large datasets.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • High integrity; dependable and comfortable with confidential information.
  • Ability to work effectively with peers.
  • Experience with AWS, GCP, Microsoft Azure, or another cloud service.
  • Familiarity with agile development frameworks.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $150k - $190k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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