Red Bull-posted 4 months ago
Full-time • Senior
Harrison, NJ
Beverage and Tobacco Product Manufacturing

The New York Red Bulls are seeking a strategic and analytically-driven Director of Business Intelligence, CRM, and Data Analytics to lead our data initiatives and transform how we understand and engage with our fans, optimize business operations, and drive revenue growth. This role will be instrumental in building a comprehensive data ecosystem that supports decision-making across all areas of the organization, from fan engagement and ticket sales to sponsorship activation and operational efficiency.

  • Lead data initiatives to enhance fan engagement and optimize business operations.
  • Build a comprehensive data ecosystem to support decision-making across the organization.
  • Drive revenue growth through data-driven strategies.
  • Bachelor's degree in Analytics, Data Science, Business, Marketing, or related field; Master's degree preferred.
  • 5+ years of experience in data analytics, business intelligence, or CRM management.
  • 2+ years of leadership experience managing analytical teams.
  • Advanced proficiency in SQL, Python, R, or similar analytical programming languages.
  • Expert knowledge of CRM platforms (Salesforce preferred).
  • Experience with business intelligence tools (Power BI, Tableau, Looker, etc.).
  • Familiarity with data warehousing, ETL processes, and cloud analytics platforms (AWS, Azure, Google Cloud).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills for both technical and non-technical audiences.
  • Strategic thinking with ability to align data initiatives with business objectives.
  • Project management experience.
  • Experience in Professional sports.
  • Knowledge of sports analytics, fan behavior analysis, and venue operations.
  • Certification in relevant analytics platforms or methodologies.
  • Experience with predictive modeling, machine learning, and advanced statistical analysis.
  • Familiarity with journey orchestration, digital marketing attribution and multi-touch attribution modeling.
  • Familiarity with prompt engineering and AI workflow automation.
  • Benefits eligible
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