Project Employee, Data Intelligence Analyst

NBA

Data Intelligence Analyst at the NBA, translating social and digital data into actionable insights. Collaborating with teams to inform strategic decision-making and optimize performance.

Posted 4/15/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $78,000 - $84,500 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze data to generate insights that inform strategy, planning, and performance measurement
Partner with social content team, fan engagement, media, and commercial teams to define metrics, standardize definitions, and ensure consistent performance tracking
Develop and maintain data tracking schedule to fill data gaps across platforms
Monitor data and API connections in Fivetran and communicate errors and findings to database solutions team
Maintain manual data entry and export/upload process for platforms with API gaps
Build, maintain, and evolve dashboards and recurring reporting that track fan engagement, growth, and business performance against core KPIs
Conduct ad-hoc, exploratory, and deep-dive analyses
Support measurement frameworks, testing, and experimentation (e.g., campaign performance, re-engagement efforts, segmentation effectiveness)
Translate data into clear, actionable insights and recommendations for stakeholders with varying levels of data fluency
Ensure data quality, accuracy, and proper interpretation across first- and third-party data sources
Contribute to the development of scalable analytics assets, documentation, and best practices to improve self-service analytics over time
Collaborate on data management projects (e.g. data standardization projects, data mapping)

Requirements

What you’ll need

Strong analytical skills with experience working in SQL and at least one analytics or BI tool (e.g., Tableau, Looker, Power BI)
Experience analyzing marketing, fan, customer, or business performance data
Ability to connect data insights to business and fan outcomes, not just metrics
Comfort working with imperfect or evolving data and making practical recommendations
Strong communication and storytelling skills, including presenting insights to non-technical stakeholders
Advanced experience working with Microsoft Excel
Knowledge of social media and digital data a plus
Detail oriented data background and exemplary analytical skills
Curiosity, critical thinking, and bias toward action
Experience collaborating cross-functionally in a fast-paced environment
High attention to detail, design, and innovation
Passion for data and eagerness to learn new analytics tools and languages
Experience using R or Python for advanced analysis, experimentation, or modeling

Benefits

Comp & perks

medical
short-term disability
mental health coaching/therapy
sick time

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLTableauLookerPower BIMicrosoft ExcelRPythondata analysisdata visualizationdata quality

Soft Skills

analytical skillscommunication skillsstorytelling skillscritical thinkingattention to detailcuriositycollaborationproblem-solvingrecommendation skillsadaptability