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Basketball Data Jobs (NOW HIRING)

Sports Reference

Senior Software Engineer

$123/hr

We added women's college basketball data to our site in 2023 and now have the only publicly available database of every score in women's NCAA Division 1 history. To meet these expectations, we ...

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How much do basketball data jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for basketball data in the United States is $15.45, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $16.83 per hour, depending on experience, location, and employer.

What is a basketball data analyst?

A Basketball Data Analyst is a professional who collects, processes, and interprets data related to basketball games, players, and teams. They use statistical methods and software tools to analyze performance, identify trends, and provide insights that help coaches, players, and management make informed decisions. Their work often includes breaking down player statistics, evaluating team strategies, and supporting scouting or recruitment. By leveraging data, they contribute to improving team performance and competitive advantage. This role is increasingly important in both professional leagues and collegiate basketball.

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

To thrive as a Basketball Data Analyst, you need strong quantitative and statistical analysis skills, knowledge of basketball analytics, and typically a degree in statistics, mathematics, data science, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and basketball-specific software like Synergy or SportVU is crucial. Attention to detail, problem-solving ability, and effective communication help translate complex data into actionable insights for coaches and teams. These skills are vital for driving strategic decisions and enhancing team performance through data-driven analysis.

What are common challenges faced by professionals working in basketball data analysis, and how can they be addressed?

Professionals in basketball data analysis often encounter challenges such as managing large volumes of complex data, keeping up with rapidly evolving analytical tools, and ensuring their insights are actionable for coaches and teams. Effective collaboration with coaching staff and athletes is crucial to translate statistical findings into practical strategies. To address these challenges, analysts should stay updated on the latest analytics software, develop strong communication skills, and build collaborative relationships with team members to ensure their work directly supports on-court performance.

What is the difference between Basketball Data vs Basketball Analyst?

AspectBasketball DataBasketball Analyst
Required CredentialsData analysis skills, familiarity with sports data toolsBasketball knowledge, data analysis skills, communication abilities
Work EnvironmentData teams, sports organizations, analytics firmsSports teams, media outlets, consulting firms
Industry UsageCollecting, managing, and processing basketball dataInterpreting data to provide insights and strategies

Basketball Data focuses on gathering and managing basketball-related data, while Basketball Analysts interpret this data to provide strategic insights. Both roles require analytical skills, but Analysts also need strong communication abilities to present findings effectively.

More about Basketball Data jobs
What states have the most Basketball Data jobs? States with the most job openings for Basketball Data jobs include:
What job categories do people searching Basketball Data jobs look for? The top searched job categories for Basketball Data jobs are:
Basketball Data jobs near you
Infographic showing various Basketball Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $32,133 per year, or $15.4 per hour.

Basketball Data Analyst (Mystics)

Monumental Sports & Entertainment

Washington, DC • On-site

$110K - $130K/yr

Other

Posted 3 days ago

New

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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