Sports Analytics Jobs

What sports analytics jobs involve and who's hiring

There are 422 open sports analytics roles across 78 organizations.

Sports analytics roles turn data into decisions, on the field and across the business. The work ranges from player evaluation, biomechanics, and game strategy on the team side to pricing, forecasting, and customer modeling at betting and data companies. The titles you will see most are data scientist, data engineer, data analyst, quantitative analyst, and research scientist, plus sports-science and R&D roles at clubs.

The skills that actually get you hired are consistent: SQL and Python first, then statistics and modeling, with R, experimentation, and machine learning depending on the role. For player-facing work, knowing how a sport is scored and managed matters as much as the math. For business and betting analytics, comfort with large datasets and probability matters more.

The heaviest hiring is not where most people expect. Betting and sports-data companies (DraftKings, FanDuel, PrizePicks, Genius Sports, Sportradar, and similar) post the largest share of analytics openings, while MLB, the NBA, and the NHL drive most of the team-side demand. Entry points are real but narrow: club R&D fellowships, analytics internships, and junior analyst roles, most of which expect a portfolio or projects you can show. Apply directly to each employer.

Frequently asked questions

What does a sports analytics job involve?

Turning data into decisions - player evaluation, biomechanics, and game strategy on the team side; pricing, forecasting, and customer modeling at betting and data companies. Common titles include data scientist, data engineer, data analyst, quantitative analyst, and research scientist.

What skills do you need for sports analytics?

SQL and Python first, then statistics and modeling, with R, experimentation, and machine learning depending on the role. For team-facing work, knowing how the sport is scored and managed matters as much as the math.

Who hires the most for sports analytics?

Betting and sports-data companies (DraftKings, FanDuel, PrizePicks, Genius Sports, Sportradar) post the largest share, while MLB, the NBA, and the NHL drive most of the team-side demand.