Vice President – Data Science & Analytics
| Company | Live Nation Entertainment |
|---|---|
| Location | New York, NY, USA |
| Salary | $148000 – $185000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Business, Finance, Statistics, Economics, Computer Science, Applied Mathematics or a related field is preferred
- 3-6 years in a data-driven and analytical leadership role; preferably in the music, sports and/or entertainment industry
- Experience managing a team
- Fluent in Excel, and familiar with coding frameworks (familiarity with SQL, in addition to Python and/or R experience is a plus)
- Familiarity with major social media platforms and corresponding KPIs
- Experience with web analytics including Google Analytics
Responsibilities
- Manage standardized weekly & monthly reporting
- Analyze social media, press, and music consumption data for daily ad-hoc insights on clients, client activity, events, trends and markets
- Deliver key strategic take-aways for ad-hoc requests across all verticals (music, sports, brands)
- Lead post-mortem reporting for major events, including lessons learned and suggested next steps
- Design data visualizations and dashboards for relevant BI platforms & reports
- Monitor ongoing social listening queries
- Conceptualize, innovate and maintain a proprietary intelligence system
- Effectively communicate data insights, processes, and statistical logic to internal and external partners with varying familiarity around data
- Diligently manage relationships with third party software vendors while keenly examining the technology landscape, looking for new software partnerships and integrations
- Lead awareness of new products, approaches, and trends in the data & technology space – especially pertaining to the rapidly evolving landscape of Artificial Intelligence and its applications
Preferred Qualifications
- Entrepreneurial spirit and excited by fast-paced and demanding environments
- Resourceful, innovative, forward thinking and diligent
- Acute attention to detail with strong organizational and team management skills
- Excellent communicator and dynamic presenter
- Excited by the opportunity to incorporate AI, LLM and agentic technology into operational processes and infrastructure