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Nba Data Analytics Jobs (NOW HIRING)

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 ...

2K

Director, Insights, NBA

Novato, CA · Hybrid

$176K - $261K/yr

What We Need The Director of NBA Insights provides strategic leadership and vision for the NBA 2K ... Data Science, and Business Unit stakeholders. * 8-10 years of experience in insights, analytics, or ...

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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 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 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.
Head of Decisioning Analytics & Optimization

Head of Decisioning Analytics & Optimization

Citizens

Columbus, OH • Hybrid

Other

Re-posted 12 days ago

Job description

Description

At Citizens, we are transforming how we engage customers by delivering relevant, responsible, and personalized experiences at scale. The Head of Decisioning Analytics & Optimization is an analytics leader responsible for the performance, measurement, and governance of Citizens' enterprise decisioning ecosystem, powered by Pega Customer Decision Hub (CDH).

This role leads a centralized Decisioning Analytics team accountable for measuring business value, optimizing Adaptive Decisioning (ADM), ensuring transparency and compliance, and continuously improving Next-Best-Action (NBA) outcomes across channels and lines of business. The role partners closely with Marketing, Product, Enterprise Data & Analytics, Technology, Risk, and Compliance teams to ensure decisioning capabilities deliver measurable impact for both customers and the bank.

Key Responsibilities
  • Own the framework for measuring customer and financial value generated by NBAs, partnering with Marketing Measurement and ED&A to ensure consistent, credible outcomes reporting and insights.
  • Lead monitoring and optimization of Adaptive Decisioning (ADM) performance, establishing standards across platform, channel, action, and treatment levels.
  • Ensure decisioning transparency by translating model-driven outcomes into clear business rationale, including why decisions were made and how constraints and values influenced outcomes.
  • Oversee governance of decisioning inputs including predictive values, business value frameworks, constraints, contact policies, and prioritization logic.
  • Coordinate with Risk, Compliance, Legal, and Model Risk Management to ensure decisioning analytics adhere to governance and regulatory expectations.
  • Lead analysis of NBA performance, contact policies, and message placement to balance business outcomes, customer experience, and channel constraints.
  • Identify NBA gaps and opportunities and support data-driven prioritization across customer segments, products, lifecycle stages, and channels.
  • Provide analytics leadership to support expansion of NBAs into new channels and journeys, including success metrics and test-and-learn approaches.
  • Develop and maintain the Decisioning Analytics roadmap, including tooling, dashboards, governance routines, and operating cadence.
People Leadership
  • Build and lead a high-performing Decisioning Analytics team.
  • Mentor and develop team members across decisioning science, analytics rigor, and business storytelling.
  • Foster a culture of accountability, transparency, and measurable impact.
Required Qualifications
  • 8-12+ years of experience in decisioning analytics, marketing analytics, customer analytics, or optimization, preferably in a regulated environment.
  • Experience with Pega Customer Decision Hub and Adaptive Decisioning.
  • Demonstrated leadership translating analytics into business and customer outcomes.
  • Experience with experimentation, optimization, and performance measurement.
  • Strong cross-functional partnership and stakeholder influence skills.
  • Hands-on experience with analytics tools and data.
Preferred Qualifications
  • Familiarity with model governance and regulatory expectations.
  • Experience with contact policy management and multi-channel decisioning.
  • Strong communication skills and executive presence.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

#LI-Citizens1 

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST

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