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Nba Data Analytics Jobs (NOW HIRING)

... analysis (SCA), container, infrastructure as code (IaC), and secrets scanning, with break build ... Author and maintain NBA Generative AI security policy and standards, including controls for AI data ...

New

The NBA currently provides eligible employees the option of working remotely one day per week ... Drive innovation in live production, including graphics, data integration, and enhanced viewing ...

Executive Producer, YouTube

New York, NY · On-site

$135K - $165K/yr

The NBA currently provides eligible employees the option of working remotely one day per week ... Work closely with casters, analysts, and influencers to develop show formats, segments, and ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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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.
Gen AI Security & DevSecOps Engineer

Gen AI Security & DevSecOps Engineer

Nba

Secaucus, NJ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

New


Job description

WORK OPTION: Remote

_________________

Position Summary:

As a Senior Manager in League Office CyberSecurity department, the Gen AI Security & DevSecOps Engineer builds and operates the security infrastructure, automation, and governance that keep the NBA's software delivery and AI adoption secure. The role spans three domains: DevSecOps (securing the CI/CD pipelines and software development lifecycle that ship NBA applications), Gen AI Security (securing the organization's growing use of Generative AI, agents, and AI developer tools), and Cloud Security (securing the cloud, Kubernetes, and secrets posture that those applications run on). This is a hands-on engineering role: the candidate designs DevOps processes, administers and builds security tooling across the software development lifecycle, embeds security testing and policy enforcement into the pipeline, and owns security review and runtime controls for AI.

Major Responsibilities

  • Secure CI/CD pipelines at scale across the organization's CI/CD platforms with standardized security templates and automated policy enforcement, embedding static analysis (SAST), software composition analysis (SCA), container, infrastructure as code (IaC), and secrets scanning, with break build enforcement on critical and high severity findings.
  • Administer the enterprise SAST and SCA platform (scan engine infrastructure, query tuning, severity calibration, finding triage) and maintain the exploitability knowledge base that distinguishes true positives from false positives to keep security fast and low friction.
  • Build automated compliance tooling that detects required scans, validates pipeline configuration, and flags coverage gaps; audit pipeline posture across platforms and drive remediation directly with engineering teams.
  • Support secure SDLC practices and security gates (SAST, SCA, container, IaC, DAST), threat modeling, SBOM generation, and dependency verification; coordinate with the DAST and penetration testing functions and act on bug bounty findings.
  • Design and build the enterprise security operations platform and the automation that orchestrates DevSecOps workflows (scan state changes, triage, exemptions, intake, notifications), including AI-assisted vulnerability triage with appropriate guardrails, audit trails, and human oversight.
  • Define and report security risk metrics, lead security audits and assessments, conduct supply chain and CVE incident response across the estate, and mentor junior team members.
  • Lead security reviews of Generative AI applications, agentic workflows, and AI developer tools submitted through the enterprise AI intake process, assessing against OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, and NBA Gen AI security policy and standards.
  • Author and maintain NBA Generative AI security policy and standards, including controls for AI data protection, model and prompt security, agentic AI, MCP (Model Context Protocol) integration, and AI developer tooling.
  • Evaluate and onboard Gen AI security tooling such as runtime guardrails, AI red teaming, browser and DLP controls, and MCP governance, and design and operate runtime AI security controls integrated into application pipelines and runtime.
  • Govern enterprise security over AI developer tooling and the MCP server approval workflow, and partner with the Enterprise Gen AI, Cloud Infrastructure, GRC, Legal, and Privacy functions to align AI security controls with broader AI governance.
  • Administer and operate the enterprise cloud security platform across a large multi-cloud estate (cloud posture, container, and IaC scanning); detect, prioritize, and drive remediation of misconfigurations and vulnerabilities against defined SLAs with infrastructure and application teams.
  • Own cloud security scanning policy configuration and service account governance (scope, least privilege, credential rotation), lead platform lifecycle work, and perform technical security configuration assessments of cloud platforms.
  • Own the Kubernetes security posture across a large cluster footprint, including admission control, RBAC, namespace isolation, network policies, and Pod Security Standards, and execute admission controller enforcement programs that move policies from audit to block in staged, owner-communicated rollouts with exception and rollback processes.
  • Design and operate automated credential rotation across cloud identity and key management services (cross-account role assumption, grace periods, owner notifications) and lead the initiative to eliminate static access keys in favor of OAuth 2.0, OIDC, and role-based authentication.
  • Manage the secrets lifecycle across cloud and pipeline secret stores with detection, alerting, and automated rotation, and build reporting that surfaces aging and non-compliant secrets.

Required Education & Professional Experience

  • Bachelor's degree in a technical discipline (or equivalent work experience).
  • Minimum of seven years in IT (a minimum of five years in information security).
  • Hands-on experience administering and integrating modern security tooling across the DevSecOps toolset, including SAST, SCA, DAST, container, IaC, and secrets scanning.
  • Hands-on experience designing and securing CI/CD pipelines on modern CI/CD platforms.
  • Strong programming and scripting ability, with the ability to build integrations, automation, and tooling against platform APIs.
  • Solid hands-on implementation of cloud security across at least one major cloud provider, including identity and access management, secrets management, network security, and posture management, guided by frameworks such as CIS Benchmarks, Cloud Security Alliance, and the NIST SP 800-53 and 800-190/800-204 series.
  • Working knowledge of Kubernetes and container security, including RBAC, admission control, namespace isolation, network policies, and Pod Security Standards.
  • Familiarity with AI and LLM security frameworks (OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS) and the controls that mitigate Generative AI risks such as prompt injection, sensitive data disclosure, and excessive agency (preferred).
  • Understanding of governance applied to cloud and AI computing in terms of risk, exposure, impact, and policy; experience writing architectural plans, standards, and guidelines for enterprise platforms.
  • One or more industry security certifications, such as GIAC (GCSA), a cloud security certification (CCSP, CCSK, or a cloud provider security certification), or an application or offensive certification (CEH, OSCP, or CySA+).

Salary Range:

$145,000-$165,000

Job Posting Title:

Senior Manager

Employees currently are eligible to receive an annual discretionary performance bonus, awarded at the sole discretion of the Company and subject to any terms and conditions set by the Company. Employees and/or eligible dependents may be eligible to participate in the following Company-sponsored employee benefit programs: medical; dental; vision; life/AD&D insurance; short- and long-term disability; fertility and family-forming assistance; wellbeing allowance; educational assistance; mental health coaching/therapy; tax advantaged accounts such as HSA and healthcare/dependent care FSAs; a 401(k) retirement plan; and time off benefits that include vacation, sick time, and personal days.

We Consider Applicants For All Positions On The Basis Of Merit, Qualifications And Business Needs, And Without Regard To Race, Color, National Origin, Religion, Sex, Gender Identity, Age, Disability, Alienage Or Citizenship Status, Ancestry, Marital Status, Creed, Genetic Predisposition Or Carrier Status, Sexual Orientation, Veteran Status, Familial Status, Status As A Victim Of Domestic Violence Or Any Other Status Or Characteristic Protected By Applicable Federal, State, Or Local Law.

The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors, and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA's own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance.

About the NBA

The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 214 countries and territories in 60 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA rosters at the start of the 2024-25 season featured a record-tying 125 international players from a record-tying 43 countries. NBA Digital's assets include NBA TV, NBA.com, the NBA App and NBA League Pass. The NBA has created one of the largest social media communities in the world, with more than 2.3 billion likes and followers globally across all leagues, team and player platforms. NBA Cares, the NBA's global social responsibility platform, partners with renowned community-based organizations around the world to address important social issues in the areas of education, inclusion, youth and family development, and health and wellness.