About The Position

Legends Global is the premier partner to the world's greatest live events, venues, and brands. We deliver a fully integrated solution of premium services that keeps our partners front and center through our white-label approach. Our network of 450 venues worldwide, hosting 20,000 events and entertaining 165 million guests each year, is powered by our depth of expertise and level of execution across every component — feasibility & consulting, owner’s representation, sales, partnerships, hospitality, merchandise, venue management, and content & booking — of world-class live events and venues. The Legends Global culture is one of respect, ambitious thinking, collaboration, and bold action. We are committed to building an inclusive workplace where everyone can be authentic, make an impact, and grow their career. Winning is an everyday thing at Legends Global. We have the best team members who understand every win is earned when we come together as one unified team. Sound like a winning formula for you? Join us!

Requirements

  • Currently pursuing or recently completed a bachelor’s or master’s degree in data Analytics, Business Analytics, Computer Science, Economics, Engineering, or a related field
  • Internship or project-based experience working with data, analytics, AI tools, or business strategy
  • Strong interest in enterprise analytics, applied AI, and using data to drive operational decision-making
  • Analytical and problem-solving mindset with the ability to break down complex, loosely defined problems
  • Ability to present insights clearly to technical and non-technical audiences.
  • Experience working with relational databases SQL strongly preferred

Responsibilities

  • Support execution of high-impact enterprise AI and advanced analytics projects across Hospitality, Managed Venues, and Sales & Partnerships, focused on solving real business challenges
  • Translate ambiguous business questions into structured analyses, prototypes, or actionable recommendations using data, analytical frameworks, and emerging AI tools
  • Collaborate cross-functionally with Director-level leaders, product owners, and business stakeholders to understand workflows, validate assumptions, and iterate on solutions
  • Develop executive-ready deliverables including presentations, demos, and written summaries that clearly communicate insights, risks, tradeoffs, and next steps
  • Participate in a structured cohort experience designed to assess readiness for full-time roles and contribute meaningfully to enterprise-level initiatives.
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