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Basketball Data Analytics Jobs (NOW HIRING)

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This position reports to the SVP Basketball, Analytics and Innovation. Come share your expertise ... Partner with data analysts to integrate the results into decision making * Analyze large data sets ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This position reports to the SVP Basketball, Analytics and Innovation. Come share your expertise ... Partner with data analysts to integrate the results into decision making * Analyze large data sets ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Basketball, and the ability use your knowledge of the sport to inform your work with complex ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Basketball, and the ability use your knowledge of the sport to inform your work with complex ...

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Basketball Data Analytics information

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$33K

$81.5K

$140K

How much do basketball data analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for basketball data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a basketball data analyst?

To thrive as a Basketball Data Analyst, you need strong statistical analysis, data interpretation, and basketball-specific knowledge, often supported by a degree in statistics, mathematics, or a related field. Proficiency with analytics software and programming languages such as Python, R, SQL, and visualization tools like Tableau is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for turning complex data into actionable insights for coaches and teams. These abilities are essential for informing strategic decisions, enhancing team performance, and providing a competitive edge in basketball operations.

What is basketball data analytics?

Basketball data analytics refers to the use of statistical and computational methods to collect, analyze, and interpret data related to basketball performance. Analysts use data from games, player tracking systems, and historical records to identify patterns, evaluate player performance, and inform coaching strategies. This field helps teams gain a competitive edge by making evidence-based decisions regarding player acquisitions, game tactics, and player development. It combines knowledge of basketball with expertise in statistics, programming, and data visualization.

What is the difference between Basketball Data Analytics vs Basketball Operations Analyst?

AspectBasketball Data AnalyticsBasketball Operations Analyst
Primary FocusAnalyzing data to inform team strategies and player performanceOverseeing day-to-day team operations and logistics
Required SkillsData analysis, statistics, programming, visualizationTeam management, communication, organizational skills
Work EnvironmentData centers, offices, sports analytics departmentsTeam facilities, arenas, administrative offices
Common EmployersNBA teams, sports analytics firms, consulting agenciesNBA teams, sports organizations, management firms

Basketball Data Analytics primarily focuses on analyzing data to improve team performance, while Basketball Operations Analysts handle the broader operational aspects of team management. Both roles often collaborate but differ in their core responsibilities and skill sets.

How do professionals in basketball data analytics typically collaborate with coaches and players to influence team strategies?

Professionals in Basketball Data Analytics work closely with coaches and, at times, directly with players to translate complex data into actionable insights. They often attend team meetings, present analytical findings in understandable formats, and provide real-time data during games or practices. Effective communication is key, as analysts must bridge the gap between statistical outputs and on-court tactics, helping coaches adjust strategies and optimize player performance based on data-driven recommendations. This collaboration fosters a culture of innovation and can directly impact game outcomes and player development.
More about Basketball Data Analytics jobs
What states have the most Basketball Data Analytics jobs? States with the most job openings for Basketball Data Analytics jobs include:
What job categories do people searching Basketball Data Analytics jobs look for? The top searched job categories for Basketball Data Analytics jobs are:
Basketball Data Analytics jobs near you
Infographic showing various Basketball Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Basketball Data Analyst (Mystics)

Monumental Sports & Entertainment

Washington, DC • On-site

$110K - $130K/yr

Other

Posted 7 days ago

Job description

Position Overview:

The Washington Mystics Basketball Data Analyst is responsible for designing, testing, and building statistical models and reports to support the Mystics. This position will be an integral component of research efforts and be a member of a dynamic team consisting of programmers, developers, statisticians, analysts, and data scientists. This role will work closely on projects impacting the decision-making process for the Washington Mystics alongside the front office.

Are you creative and have a passion for exploring, inventing and discovering new insights about basketball and data communication?! We'd love to hear from you!

Responsibilities:
  • Build and develop systems, analytical models, foundational structures, and machine learning models to support decision-making processes for the Mystics.
  • Respond in a timely and efficient manner to ad-hoc requests from Basketball Operations Executives and the front office.
  • Translate data-driven results into actionable basketball decisions and recommendations.
  • Use data to identify possible solutions to strategic questions, including areas of player evaluation, game management, in-game tactics, roster building, salary cap strategy, and broader WNBA league trends.
  • Integrate novel research, basketball metrics, and models into existing and new applications.
  • Originate innovative ways to analyze and summarize data from existing and new partners.
  • Provide the basketball operations departments with the best empirical data and data analysis available, ensuring objectivity and integrity of information through meticulous analytical models.
  • Work with the larger research team to maintain a multidimensional and secure information system that anticipates the needs of the front office.
  • Other duties as assigned.
Minimum Qualifications:
  • Bachelor's Degree or equivalent experience in STEM field including Statistics, Mathematics, Computer Science, Data Science, or similar domain.
  • Basic knowledge of WNBA, team rosters, and league trends.
  • Experience with basketball data, including play-by-play and sports tracking data such as Second Spectrum markings or raw data.
  • Experience with standard SQL and other database management tools.
  • Experience using Python, R, or other statistical programming languages.
  • Experience with data visualization principles and tools.
  • Excellent analytical skills with experience researching and analyzing data.
  • Outstanding written and verbal communication skills.
  • High integrity, dependable, and comfortable with confidential information.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $110k - 130k USD.

Benefit Eligibility: This role is eligible to participate in health and welfare benefits.

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