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Nba Data Analytics Jobs (NOW HIRING)

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 ...

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 Draft. * Maintain college prospect profiles in Combine Central. Analytics * Organize data, generate insights, and prepare reports for department and undertake follow-up analysis as directed.

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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 ...

Analytics Engineer, Media

New York, NY · On-site

$120K - $145K/yr

The NBA currently provides eligible employees the option of working remotely one day per week. _____ Position Summary: The Analytics Engineer, Media will bridge the gap between raw media data ...

The NBA currently provides eligible employees the option of working remotely one day per week ... Translate complex behavioral and business data into clear strategic recommendations that influence ...

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 ...

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 ...

Collaborate across the NBA Events Department and League Office-including Event Strategy, Ticketing Operations, Data Strategy & Analytics, Brand/Marketing, Fan Engagement, Creative Services, Social ...

... 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 ...

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Nba Data Analytics information

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How much do nba data analytics jobs pay per hour?

As of Jul 16, 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 much do NBA data analysts make?

NBA data analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and the level of responsibility. 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 command higher pay.

How does an NBA Data Analytics professional typically 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.

How to become an NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Experience with sports analytics, understanding of basketball metrics, and familiarity with visualization software like Tableau are also valuable. Gaining internships or entry-level positions in sports organizations can help build relevant experience and industry knowledge.

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 does a data analyst do in the NBA?

An NBA data analyst collects, processes, and interprets basketball data to provide insights on player performance, team strategies, and game trends. They use statistical tools and software to support decision-making for coaching staff and management, often working with large datasets and advanced analytics techniques.

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.

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 can earn higher salaries, often exceeding $100,000. Skills in data visualization, statistical software, and sports analytics are important for higher earning potential.
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What job categories do people searching Nba Data Analytics jobs look for? The top searched job categories for Nba Data Analytics jobs are:
Infographic showing various Nba Data Analytics job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Pega NBA Developer

$52 - $68/hr

Full-time

Posted 27 days ago


Job description

Job Title: Pega NBA Developer
Work Location: Dallas, TX
Duration: 6+ Months
Job Summary:
We are looking for a Pega NBA (Next-Best-Action) Developer to design, build, and optimize decisioning and customer engagement solutions using Pega Customer Decision Hub (CDH). The role focuses on delivering personalized, real-time customer experiences using data, analytics, and AI-driven decision strategies.