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Basketball Data Analytics Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

Nba

Basketball Operations Analyst

New York, NY

$85K - $95K/yr

Analytics * Organize data, generate insights, and prepare reports for department and undertake ... Prior experience in basketball operations or a related field is strongly preferred. Required Skills ...

New

Pentasia

MLB Data Entry Gig (Miami Marlins)

Miami, FL · On-site

$15.25 - $19.75/hr

Sports Data & Analytics Are you a baseball fan based near Miami, FL? Our client is hiring sports ... The job requires accuracy, focus, and solid understanding of basketball rules and game flow.

New

Rose Quarter

Senior Basketball Researcher

Tualatin, OR · On-site

... drive data-informed decisions. DAY-TO-DAY: * Design, develop, and validate analysis systems ... Have strong intellectual curiosity and basketball acumen, with the ability to connect analytical ...

CSU

Director, Basketball Sports Performance

Campus, IL · On-site

Ability to analyze and solve problems and deal effectively with short notice change and competing ... Ability to compile data and information and prepare reports. * Proficient in Microsoft Office Suite ...

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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 Jul 16, 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.

How to become an NBA data analyst?

To become an NBA data analyst, develop strong skills in statistics, data analysis, and programming languages such as Python or R. A bachelor's degree in a related field like sports management, statistics, or computer science is typically required, along with experience using sports analytics tools and databases. Gaining knowledge of basketball strategies and working with large datasets can improve job prospects.

What are the key skills and qualifications needed to thrive as a Basketball Data Analyst, and why are they important?

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.

How much do basketball data analysts make?

Basketball data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level positions may start lower, while those with advanced skills in statistical software and sports analytics can earn higher salaries, especially in professional or major college programs.

What is a basketball data analyst?

A basketball data analyst is a professional who collects, analyzes, and interprets basketball game data to provide insights on player performance, team strategies, and game outcomes. They often use statistical tools and software such as Excel, SQL, or specialized sports analytics platforms to support coaching decisions and team development.

How much does an NBA analyst get paid?

NBA analysts typically earn between $50,000 and $150,000 annually, depending on experience, employer, and location. Senior analysts or those working for major networks may earn higher salaries, often supplemented with bonuses and benefits. Skills in data visualization, statistical software, and basketball knowledge are important for this role.

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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $81,518 per year, or $39.2 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 17 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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