Analyst, Strategy & Analytics - NYRA

About the role

The Analyst, Strategy & Analytics for the New York Racing Association will spearhead the delivery of analytics and insights to our operators and partner on campus. In this role, you will be responsible for working with Levy’s Vice President of Hospitality and Director of Operations, as well as, NYRA stakeholders to produce analytical insights and technology recommendations for hospitality initiatives.

Responsibilities

• Manage relationships with key client and Levy stakeholders and understanding their overall strategies and business objectives
• Develop specific knowledge about the venue, including physical configuration, proposed technology, and operational processes
• Develop and deploy optimal pricing, product, placement, and promotion strategies for concessions and premium points of distribution based on team objectives and fan feedback
• Identify opportunities to change existing product offering or distribution
• Create reporting (heat maps, dashboards, slide decks, status updates) standards and formats for partner and operator end use
• Communicate key guest insights and potential action items
• Analyze and build optimal solutions around variable labor and cost of sales management
• Leverage available artificial intelligence, consumer insights, and emerging technology tools to drive guest experience and profitability
• Interface with operations leadership to bring forth best practices from across Levy

Qualifications

• Self-starter who is eager to learn the business and drive insights
• Ability to develop and own stakeholder relationships
• Ability to work collaboratively in a consultative role
• Up to 2 years of experience in quantitative, analytical consulting, and/or client-facing businesses as well as experience interacting with internal organizational leadership
• Bachelor’s and/or Master’s degree in business analytics, statistics, economics, or a related field
• Experience in hospitality operations is a plus
• Experience in Excel with experience in financial modeling a plus
• Experience using SQL, R, Python, PowerBI, and/or Tableau for data analysis
• Experience in using data visualization tools, visual features of statistical software tools or Powerpoint to communicate complex ideas to non-technical audiences
• Experience in survey analytics
• Can share examples of using data to solve complex problems
• Food service operations awareness/experience
• Experience communicating complex ideas to non-technical audiences
• Excellent interpersonal and stakeholder management skills
• Proactive approach to problem solving and adding value