Analytics Engineer, Integrity - NBA Data & Insights

SportsTechJobs; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

The National Basketball Association (NBA) is seeking an Analytics Engineer, Integrity to support data analytics and business intelligence initiatives. The role focuses on analyzing basketball and business data, generating insights, and enabling strategic decision-making across the organization.

Responsibilities include modeling, visualization, stakeholder communication, and maintaining data infrastructure. A strong background in statistics or data science and 3–5 years of related experience are

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Analytics, or related field.
• 3-5 years of experience in data analysis or business intelligence.
• Proficiency in SQL, Python, R, or similar analytical tools.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Excellent communication and presentation abilities.
• Knowledge of basketball analytics preferred.

Responsibilities

• Analyze basketball performance data and business metrics.
• Develop analytical models and data visualizations.
• Generate insights to support strategic initiatives.
• Collaborate with basketball operations and business teams.
• Present findings and recommendations to stakeholders.
• Maintain and improve data infrastructure and reporting systems.

Skills

SQL

Python

R

Data visualization

Communication skills

Basketball analytics knowledge

Education

Bachelor's or Master's degree in Statistics, Data Science, Analytics, or related field

Tools

Tableau

Power BI

Job description

The National Basketball Association (NBA) is seeking an Analytics Engineer, Integrity to support data analytics and business intelligence initiatives. The role focuses on analyzing basketball and business data, generating insights, and enabling strategic decision-making across the organization.

Responsibilities include modeling, visualization, stakeholder communication, and maintaining data infrastructure. A strong background in statistics or data science and 3–5 years of related experience are