NBA

Project Employee, Data Intelligence Analyst

NBA

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $78,000 - $84,500 per year

About the role

  • 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

  • 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
  • medical
  • short-term disability
  • mental health coaching/therapy
  • sick time
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLTableauLookerPower BIMicrosoft ExcelRPythondata analysisdata visualizationdata quality
Soft Skills
analytical skillscommunication skillsstorytelling skillscritical thinkingattention to detailcuriositycollaborationproblem-solvingrecommendation skillsadaptability