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Summer Basketball Data Analyst Jobs (NOW HIRING)

AEG Presents

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Title: Data Scientist, Basketball Data Strategy Department: BasketballData Strategy, Basketball ... analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball ...

Swish Analytics

Basketball Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is ...

AEG

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Title: Data Scientist, Basketball Data Strategy Department: BasketballData Strategy, Basketball ... analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball ...

AEG Presents

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is ...

AEG

Associate Basketball Analyst, Coaching

El Segundo, CA · On-site

$115K - $125K/yr

Basketball Data Strategy, Basketball Operations Reports to: Basketball Analyst, Coaching Manages: None Position Summary: The AssociateBasketball Analyst - Coaching, Basketball Data Strategy occupies ...

Los Angeles Lakers

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Data Scientist, Basketball Data Strategy The Data Scientist, Basketball Data Strategy is a critical ... analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball ...

AEG

Senior Data Engineer

El Segundo, CA · On-site

$185K - $210K/yr

Basketball Data Strategy, Basketball Operations Reports to: Director, Basketball Data Strategy ... This position works alongside the Data Science / Analyst teams to ensure the cleanliness, integrity ...

AEG Presents

Senior Data Engineer

El Segundo, CA · On-site +1

$185K - $210K/yr

Basketball Data Strategy, Basketball Operations Reports to: Director, Basketball Data Strategy ... This position works alongside the Data Science / Analyst teams to ensure the cleanliness, integrity ...

Los Angeles Lakers

Senior Data Engineer

El Segundo, CA · Remote

$185K - $210K/yr

Senior Data Engineer, Basketball Data Strategy The Senior Data Engineer, Basketball Data Strategy ... This position works alongside the Data Science / Analyst teams to ensure the cleanliness, integrity ...

Los Angeles Lakers

Data Scientist

El Segundo, CA · On-site

... analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball ... from exploratory data analysis and problem framing all the way through model validation and ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of football, basketball or baseball; including roster compositions of professional ... Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to ...

AEG

Software Developer

El Segundo, CA · On-site

$160K - $175K/yr

Basketball Data Strategy, Basketball Operations Reports to: Senior Software Developer & Basketball Analyst, Basketball Data Strategy Position Summary: The primary responsibility of the Software ...

AEG Presents

Deep knowledge of football, basketball or baseball; including roster compositions of professional ... Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to ...

AEG Presents

Software Developer

El Segundo, CA · On-site +1

$160K - $175K/yr

Basketball Data Strategy, Basketball Operations Reports to: Senior Software Developer & Basketball Analyst, Basketball Data Strategy Position Summary: The primary responsibility of the Software ...

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All JobsSummer Basketball Data Analyst Jobs

Summer Basketball Data Analyst information

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$34K

$82.6K

$136K

How much do summer basketball data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for summer basketball data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Summer Basketball Data Analyst, you need strong analytical skills, a background in statistics or mathematics, and familiarity with basketball analytics concepts, typically supported by a relevant degree or coursework. Proficiency in data analysis tools such as Excel, SQL, R, or Python, as well as experience with basketball data platforms like Synergy Sports or Second Spectrum, is commonly required. Excellent communication, attention to detail, and teamwork are important soft skills for conveying insights and collaborating with coaches or staff. These skills ensure accurate analysis and effective communication, directly supporting team strategy and player development during the summer season.

What are some typical projects or tasks a Summer Basketball Data Analyst might work on during the season?

As a Summer Basketball Data Analyst, you can expect to work on projects such as collecting and cleaning game statistics, analyzing player performance trends, and developing visual dashboards to present insights to coaching staff. You may also be responsible for tracking advanced metrics, preparing pre-game reports, and collaborating closely with coaches and other analysts to inform strategy decisions. The fast-paced environment means you'll need to adapt quickly to new data and provide actionable insights on tight deadlines.

What are Summer Basketball Data Analysts?

Summer Basketball Data Analysts are professionals who collect, process, and interpret basketball-related data during the summer season, often supporting teams, camps, or leagues. They analyze player and team statistics, track performance metrics, and provide insights to coaches and staff to enhance decision-making and improve outcomes. These analysts use statistical software and data visualization tools to present their findings. Their work helps identify trends, assess player development, and inform strategies for both training and games.

What is the difference between Summer Basketball Data Analyst vs Summer Basketball Coach?

AspectSummer Basketball Data AnalystSummer Basketball Coach
Required CredentialsDegree in sports management, statistics, or related field; proficiency in data analysis toolsCoaching certifications, experience in basketball coaching, and knowledge of game strategies
Work EnvironmentOffice settings, sports analytics labs, or on-site at basketball campsOn-court coaching, training sessions, and team management during summer programs
Employer & Industry UsageSports teams, analytics firms, or youth sports organizationsSchool teams, summer sports camps, and youth basketball leagues
Common Search & ComparisonYesNo

The Summer Basketball Data Analyst focuses on analyzing player and team performance data to inform strategies, often working behind the scenes. In contrast, the Summer Basketball Coach directly trains and manages players during summer programs. While both roles are involved in basketball, their responsibilities, skills, and work environments differ significantly.

More about Summer Basketball Data Analyst jobs
What cities are hiring for Summer Basketball Data Analyst jobs? Cities with the most Summer Basketball Data Analyst job openings:
What are the most commonly searched types of Basketball Data Analyst jobs? The most popular types of Basketball Data Analyst jobs are:
What states have the most Summer Basketball Data Analyst jobs? States with the most job openings for Summer Basketball Data Analyst jobs include:
What job categories do people searching Summer Basketball Data Analyst jobs look for? The top searched job categories for Summer Basketball Data Analyst jobs are:
Summer Basketball Data Analyst jobs near you
Infographic showing various Summer Basketball Data Analyst job openings in the United States as of May 2026, with employment types broken down into 11% Full Time, and 89% Part Time. Highlights an 60% Physical, 25% Hybrid, and 15% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Scientist

Data Scientist

The National Basketball Association

El Segundo, CA • On-site

$150K - $160K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Scientist, Basketball Data Strategy
Department: BasketballData Strategy, Basketball Operations
Reports to: Senior Data Scientist, Basketball Data Strategy
Manages: None
Position Summary: The Data Scientist, Basketball Data Strategy is a critical member of the Basketball Data Strategy team. Reporting to the Senior Data Scientist, Basketball Data Strategy, they will develop, test, and maintain predictive models and metrics for player evaluation, roster construction, player development, and in-game strategy. They will work with the Development team to create data visualizations and applications to assist in the consumption of results, and with the Data Engineering team to perform crucial data maintenance and upkeep of models and metrics. The Data Scientist will primarily work under the direction of the Senior Data Scientist and collaborate with other members of the Basketball Data Strategy team to provide tools needed for team success.
Essential Functions (Duties & Responsibilities**):
  • Utilize statistical analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball Operations
  • Drive development of production-level models - from exploratory data analysis and problem framing all the way through model validation and deployment
  • Integrate novel research, basketball metrics, and models into existing and new applications
  • Originate innovative ways to analyze / summarize data from existing and new stakeholders (e.g. G League, Player Health, NBA Draft)
  • Operate in both the ad-hoc and the long-term, creating new research and sustainable solutions as necessary in collaboration with the rest of the Basketball Operations department
  • Manipulate and leverage large data for analysis and modeling; source, process, and understand new datasets that may aid in potential evaluations
  • Translate data-driven results into actionable basketball decisions and recommendations
**Responsibilities subject to change based on organizational needs and direction from management.
Education:
  • Bachelor's in Statistics, Computer Science, or a related field, or equivalent academic or professional experience
Minimum Qualifications:
  • 3+ years of professional experience in a data science or machine learning role
  • Proficiency in Python or equivalent language for end-to-end model development
  • Experience using modern machine learning and deep learning techniques (e.g. scikit-learn, TensorFlow) to build robust models
  • Expertise with techniques to analyze and use large data sets (e.g. PySpark, SQL); willingness to work with geolocation tracking data and biomechanical data
  • Familiarity with distributed computing and cloud-first principles
  • Ability to write clean and efficient code; proficiency with version control and code modularization
  • Strong communication skills
  • Experience with time series/probabilistic forecasting, MLOps and GPU computing is a plus
Other Qualifications:
  • Adaptable, eager to self-learn new technical skills
  • Knowledge of and passion for NBA basketball

Location: El Segundo (office M-F), and other occasional off-site events
Travel: Less than 5% of the time
Hours: Full-time.Must be available to work evenings, weekends, and holidays as reasonably required
The pay range for this role is $150,000 - $160,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience and certifications. In addition to those factors, we consider the relative pay of our current employees in similar positions when making a final offer.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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