ZipRecruiter

Log In

1

Nba Data Analytics 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 ...

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 ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

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

Production Assistant, Replay Operator

Secaucus, NJ

$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

Accounts Receivable Analyst

Secaucus, NJ · On-site

$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

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 ...

next page

Showing results 1-20

All JobsNba Data Analytics Jobs

Nba Data Analytics information

See salary details

$24

$54

$94

How much do nba data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for nba data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is NBA data analytics?

NBA data analytics involves the collection, processing, and interpretation of basketball-related data to support decision-making within NBA organizations. Analysts use statistics, machine learning, and data visualization to evaluate player performance, optimize team strategies, and gain competitive advantages. This field combines knowledge of basketball with technical skills in data science and often supports front office staff, coaches, and scouting departments. The insights from data analytics can influence player recruitment, game tactics, and injury prevention.

How does an NBA data analytics professional collaborate with coaches and front office staff to influence team strategies?

NBA Data Analytics professionals play a crucial role in bridging the gap between raw data and actionable insights for coaches and front office staff. They regularly present their findings in clear, digestible formats—such as dashboards or reports—during team meetings or strategy sessions. Close collaboration is essential, as analysts often work alongside coaches to interpret player performance metrics, suggest lineup optimizations, or evaluate potential trades. This dynamic environment requires strong communication skills and the ability to translate complex analytics into practical recommendations that fit the team's goals and style of play.

What are the key skills and qualifications needed to thrive as an NBA data analyst, and why are they important?

To thrive as an NBA Data Analyst, you need strong quantitative skills, a background in statistics or data science, and a solid understanding of basketball analytics. Proficiency in programming languages like Python or R, data visualization tools such as Tableau, and experience working with large sports datasets are typically required, along with knowledge of advanced analytics techniques. Excellent communication, critical thinking, and teamwork skills help analysts translate complex data into actionable insights for coaches and management. These skills are crucial for making data-driven decisions that can impact player performance, game strategy, and overall team success.

What is the difference between Nba Data Analytics vs Nba Video Analyst?

AspectNba Data AnalyticsNba Video Analyst
Required SkillsData analysis, statistical tools, programming (Python, R)Video editing, playback software, basketball knowledge
Work EnvironmentOffice, data centers, sports analytics firmsStadiums, training facilities, broadcast rooms
Industry UsagePlayer performance, game strategy, scoutingGame breakdowns, player tendencies, coaching support

While both roles support NBA teams, Nba Data Analytics focuses on analyzing numerical data to inform decisions, whereas Nba Video Analysts interpret game footage to provide visual insights. Both are essential but serve different functions within team operations.

More about Nba Data Analytics jobs
What cities are hiring for Nba Data Analytics jobs? Cities with the most Nba Data Analytics job openings:
What states have the most Nba Data Analytics jobs? States with the most job openings for Nba Data Analytics jobs include:
What job categories do people searching Nba Data Analytics jobs look for? The top searched job categories for Nba Data Analytics jobs are:
Nba Data Analytics jobs near you
Infographic showing various Nba Data Analytics 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 $113,873 per year, or $54.7 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Posted 15 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.