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Nba Data Analyst Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

2K

Staff Data Analyst

Novato, CA · On-site

Gain an understanding of internal titles outside of our portfolio (NBA 2K, Borderlands, other 2K ... Act as a subject matter expert to support analysts and other data-users to improve their ...

2K

Staff Data Analyst

Novato, CA · On-site

Gain an understanding of internal titles outside of our portfolio (NBA 2K, Borderlands, other 2K ... Act as a subject matter expert to support analysts and other data-users to improve their ...

Ruri Software Technologies LLC

Pega NBA Developer

Dallas, TX · On-site

$52 - $68/hr

Job Title: Pega NBA Developer Work Location: Dallas, TX Duration: 6+ Months Job Summary: We are ... The role focuses on delivering personalized, real-time customer experiences using data, analytics ...

Nba

Privacy & Data Governance Lead

New York, NY · On-site +1

The NBA currently provides eligible employees the option of working remotely one day per week ... Lead cross-functional collaboration with Legal, Compliance, Technology, Data Strategy & Analytics ...

Nba

Accounts Receivable Analyst

Secaucus, NJ

$68K - $75K/yr

The NBA currently provides eligible employees the option of working remotely one day per week ... * Assist with data testing and other tasks associated with system implementation or upgrade ...

Nba

Production Assistant, Replay Operator

Secaucus, NJ · On-site

$24.04/hr

... Analytics Department and the Basketball Operations Department by watching games in real time and ... data for review by NBA Referee(s) and/or Basketball Operations officials. The position may also ...

Nba

Creative Producer, YouTube

New York, NY · On-site

$53 - $70/hr

... NBA players, creators, and celebrities. * Monitor analytics and adjust strategies based on audience engagement data. * Stay up to date on trends in the gaming content space, ensuring that NBAT2 is ...

Nba

Senior Cyber Security Engineer

Secaucus, NJ · Remote

Strong analytical and problem-solving skills, with the ability to convert raw security data into ... The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and ...

ExlService Holdings, Inc.

Data Scientist

Dallas, TX · On-site

Data Scientist - AI Enabled Call Center Efficiency and CEX Location- Hybrid, Jersey City, NJ Salary ... The ideal candidate will be equally comfortable with analytics and execution, owning the full NBA ...

ExlService Holdings, Inc.

Data Scientist

Dallas, TX · On-site

Data Scientist - AI Enabled Call Center Efficiency and CEX Location- Hybrid, Jersey City, NJ Salary ... The ideal candidate will be equally comfortable with analytics and execution, owning the full NBA ...

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Nba Data Analyst information

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How much do nba data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for nba 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.

How much do NBA data analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level analysts may start at lower salaries, while those with advanced skills in data visualization, statistical analysis, and familiarity with tools like SQL or Python can earn higher wages.

What do NBA data analysts do?

NBA data analysts collect, organize, and interpret basketball data to provide insights on player performance, team strategies, and game outcomes. They use statistical tools and software to analyze large datasets, supporting coaching decisions and team improvements.

What are the key skills and qualifications needed to thrive in the Nba Data Analyst position, and why are they important?

To thrive as an NBA Data Analyst, you need a strong background in statistics, data analysis, and basketball analytics, typically supported by a relevant degree in mathematics, statistics, or data science. Familiarity with analytical tools like SQL, Python, R, and data visualization software such as Tableau is essential, and experience using basketball analytics databases (like Synergy Sports or Second Spectrum) is highly valued. Attention to detail, effective communication, and the ability to collaborate with coaches and front-office staff are critical soft skills. These qualifications enable analysts to translate complex data into actionable insights that improve team performance and strategy.

What are the typical duties and responsibilities of an NBA Data Analyst during the basketball season?

NBA Data Analysts play a key role throughout the basketball season by collecting, cleaning, and analyzing large sets of game, player, and team data. They generate reports and visualizations that help coaches and executives make informed decisions about strategy, player performance, and opposition analysis. Collaboration is frequent, as analysts regularly meet with coaching staff, scouts, and management to present findings and answer data-driven questions. Their work environment is fast-paced, especially during games and playoffs, with rapid turnaround on actionable insights. The role often requires flexibility in hours and a proactive approach to problem-solving, staying up-to-date with the latest analytical methodologies and basketball trends.

How much do NBA analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Senior analysts or those working for major teams or leagues may earn higher salaries, often supplemented with bonuses or benefits. Skills in data analysis, sports statistics, and proficiency with tools like SQL or Python are valuable in this role.

How to become NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Strong skills in data analysis tools like Excel, SQL, and programming languages such as Python or R are essential, along with a good understanding of basketball and sports analytics. Gaining experience through internships or projects and staying updated on industry trends can improve job prospects.

What is an NBA Data Analyst job?

An NBA Data Analyst is responsible for collecting, analyzing, and interpreting basketball data to provide insights that help teams make informed decisions. They work with statistics related to player performance, game strategy, and opponent tendencies, often using advanced analytics and data visualization tools. Their insights assist coaching staff, front office executives, and scouts in improving team performance, player acquisitions, and game strategies. Strong skills in programming, data modeling, and basketball knowledge are essential for this role.

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Nba Data Analyst jobs near you
Infographic showing various Nba Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Posted 9 days ago

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We\'re looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 4+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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