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How much do basketball analytics jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for basketball analytics in the United States is $18.14, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $20.19 per hour, depending on experience, location, and employer.

How does a Basketball Analytics professional typically collaborate with coaches and players to impact team strategy?

Basketball Analytics professionals work closely with coaches by providing data-driven insights into player performance, opponent tendencies, and game situations. They translate complex statistical findings into actionable recommendations, such as lineup optimization or defensive adjustments. While much of their work involves analyzing data behind the scenes, they often participate in meetings or presentations to communicate findings in a clear, accessible way. Building strong relationships and trust with coaching staff is key, as is the ability to explain analytics so that it can be directly applied to on-court strategies.

What is basketball analytics?

Basketball analytics refers to the use of data analysis, statistics, and advanced metrics to evaluate players, teams, and strategies in basketball. Analysts collect and interpret data from games to provide insights that help coaches, players, and front offices make informed decisions. These insights can include player efficiency, shot selection, lineup optimization, and opponent tendencies. Basketball analytics has become an essential part of the sport, influencing everything from player recruitment to in-game tactics. It combines knowledge of basketball with skills in mathematics, programming, and data visualization.

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

AspectBasketball AnalyticsBasketball Data Analyst
Required CredentialsDegree in statistics, data science, or related field; knowledge of sports analytics toolsSimilar; often requires degrees in data-related fields and proficiency in analytics software
Work EnvironmentSports teams, analytics firms, or media companies; focus on data-driven decision makingTeams, sports organizations, or consulting firms; analyzing game and player data
Employer & Industry UsagePrimarily in professional and college basketball organizationsUsed across basketball teams, leagues, and sports analytics companies

Basketball Analytics and Basketball Data Analyst roles overlap significantly in credentials, work environment, and industry usage. While Basketball Analytics emphasizes developing models and insights, Basketball Data Analysts focus on collecting and interpreting data to inform decisions. Both roles are essential in advancing team strategies and player evaluations in the basketball industry.

What are the key skills and qualifications needed to thrive in Basketball Analytics, and why are they important?

To thrive in Basketball Analytics, you need a strong background in statistics, data analysis, and basketball knowledge, often supported by a degree in mathematics, statistics, or a related field. Familiarity with statistical software (such as R, Python, or SQL), data visualization tools, and experience with basketball tracking systems are typically required. Excellent communication, critical thinking, and teamwork skills help analysts present insights effectively and collaborate with coaches and front office staff. These abilities are crucial for translating complex data into actionable strategies that enhance team performance and decision-making.
More about Basketball Analytics jobs
What cities are hiring for Basketball Analytics jobs? Cities with the most Basketball Analytics job openings:
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What states have the most Basketball Analytics jobs? States with the most job openings for Basketball Analytics jobs include:
What job categories do people searching Basketball Analytics jobs look for? The top searched job categories for Basketball Analytics jobs are:
Basketball Analytics jobs near you
Infographic showing various Basketball Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $37,729 per year, or $18.1 per hour.
Data Scientist (Brooklyn Nets - Basketball Operations)

Data Scientist (Brooklyn Nets - Basketball Operations)

Brooklyn Sports & Entertainment

Brooklyn, NY • On-site

$61K - $62K/yr

Full-time

Posted 3 days ago

Job description

SUMMARY
The Brooklyn Nets Basketball Operations department is seeking a passionate, creative, and highly analytical Data Scientist to help advance the organization's basketball analytics capabilities. This role is dedicated exclusively to supporting the Brooklyn Nets Basketball Operations team and will develop, deploy, and continuously improve predictive models, analytical frameworks, and data visualization tools that directly influence basketball decision-making across the organization.
Working closely with front office executives, coaches, scouts, and fellow Basketball Analytics team members, this individual will transform complex basketball data into actionable insights that inform player evaluation, roster construction, game strategy, player development, and organizational planning. This role requires both strong machine learning expertise and a deep passion for basketball, along with the curiosity to challenge existing methodologies and introduce innovative approaches that push the organization forward.
This position is part of Brooklyn Sports & Entertainment but is dedicated exclusively to the Brooklyn Nets Basketball Operations department. Unlike many roles within the organization that support multiple business units, this role works directly with the Brooklyn Nets and their Basketball Operations leadership to drive basketball strategy and decision-making.
WHAT YOU WILL DO
  • Enhance and improve existing player evaluation models while developing new predictive metrics that support basketball decision-making across the Basketball Operations department.
  • Design, develop, deploy, and maintain machine learning models that generate actionable insights for roster construction, player evaluation, scouting, player development, and game strategy.
  • Evaluate model performance and establish monitoring frameworks to ensure predictive accuracy, reliability, and continuous improvement.
  • Build intuitive and visually compelling dashboards and data visualizations that improve the accessibility and adoption of analytics products throughout Basketball Operations.
  • Partner with Basketball Operations leadership, coaching staff, scouting, and front office personnel to identify analytical opportunities and translate business questions into scalable analytical solutions.
  • Collaborate with members of the Basketball Analytics team to design and implement basketball software tools and research initiatives.
  • Critically evaluate existing metrics and analytical methodologies while identifying opportunities to improve current models or create entirely new approaches.
  • Analyze large and complex basketball datasets, including player tracking and event-level data, to uncover meaningful trends and competitive advantages.
  • Document analytical methodologies, model assumptions, and technical processes to support knowledge sharing and long-term maintainability.
  • Stay current with emerging developments in machine learning, artificial intelligence, basketball analytics, and sports technology to bring innovative ideas to the organization.

WHAT YOU WILL BRING
  • 3-7 years of professional experience in data science, machine learning, predictive modeling, or a related analytical field.
  • Bachelor's degree or higher in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative discipline, or equivalent practical experience.
  • Demonstrated experience developing, testing, and deploying complex machine learning models.
  • Strong programming skills in Python, R, and SQL.
  • Experience with modern data science libraries including Pandas, NumPy, Scikit-learn, XGBoost, PyTorch, TensorFlow, or similar frameworks.
  • Experience working with large, complex datasets and production machine learning environments.
  • Experience using GitHub, version control, and collaborative software development practices.
  • Strong analytical thinking with exceptional attention to detail.
  • Ability to communicate complex analytical concepts to both technical and non-technical audiences.
  • Excellent written, verbal, and presentation skills.
  • Strong curiosity, creativity, and passion for identifying new basketball metrics and analytical approaches.
  • Demonstrated ability to thrive in a fast-paced, collaborative, and continuously evolving environment.
  • Genuine passion for the NBA and the game of basketball.

Preferred Qualifications
  • Experience with Snowflake.
  • Experience developing interactive analytics applications using R Shiny, Tableau, Power BI, Plotly, or similar visualization platforms.
  • Experience with JavaScript visualization libraries including D3.js, Victory, Recharts, or Nivo.
  • Experience applying computer vision techniques to sports analytics.
  • Experience working with player tracking technologies such as Hawk-Eye or similar spatial tracking systems.
  • Experience analyzing sports science, player performance, or medical datasets, including injury forecasting.
  • Strong understanding of modern basketball analytics methodologies and advanced metrics.
  • Experience working with cloud-based analytics platforms such as AWS, Azure, or Google Cloud Platform.

WHO YOU ARE
  • Passionate about using data to improve basketball decision-making.
  • Curious, innovative, and eager to challenge conventional thinking.
  • Collaborative and comfortable working across multiple Basketball Operations functions.
  • Self-motivated with the ability to manage multiple priorities independently.
  • Detail-oriented while maintaining a strategic perspective.
  • Committed to continuous learning and sharing knowledge with teammates.
  • Driven by both analytical rigor and a genuine love of basketball.

COMPENSATION
Salary Range: $150,000-$170,000 + Benefits
WORK ENVIRONMENT
This position is based primarily in the Brooklyn Nets Training Center located in Industry City, Brooklyn.
Because this role directly supports the Brooklyn Nets Basketball Operations, the schedule will not follow a traditional Monday through Friday workweek. The successful candidate should expect to work non-conventional hours aligned with the Brooklyn Nets basketball calendar, including evenings, weekends, holidays, training camp, preseason, regular season, postseason, NBA Draft, Summer League, free agency, and other key Basketball Operations events. Flexibility and availability during critical basketball periods are essential to success in this role.
This role may require regular travel in support of the Brooklyn Nets Basketball Operations department. Travel may include team road trips, training camp, Summer League, NBA Draft, scouting events, free agency, and other basketball-related activities. The frequency and duration of travel will vary throughout the year based on the team's schedule and business needs.
We are an Equal Employment Opportunity ("EEO") Employer. It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, creed, religion/creed, gender, gender identity, transgender status, pregnancy and lactation accommodations, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage, immigration, or citizenship status, veteran or military status, disability, genetic information, height and weight, arrest or conviction record, caregiver status, credit history, unemployment status, sexual and reproductive health decisions, salary history, status as a victim of domestic violence, stalking, and sex offenses, or any other characteristic prohibited by federal, state or local laws.

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