Analytics and Reporting Intern

Job Description

Levy is a leading presence in the Food, Beverage, and Retail industry across 200 plus Entertainment, Sports, and Restaurant venues across the country. This analyst internship position is focused on supporting the delivery of analytics and insights to Levy’s operators and partners at the American Airlines Center surrounding food & beverage operations. In this role, you will be responsible for working with Levy’s Director of Operations and E15’s analysts across the country to develop analytical tools (modeling, reporting, visualizations, and more) to help drive the business and enhance the guest experience. This analyst internship position is focused on supporting the delivery of analytics and insights to Levy’s operators and partners at venues including but not limited to Q2 Stadium, Toyota Center, and Paycom Center, surrounding food & beverage operations. In this role, you will be responsible for working with Levy’s Director of Operations and E15’s analysts across the country to develop analytical tools (modeling, reporting, visualizations, and more) to help drive the business and enhance the guest experience. Some of the core responsibilities of the Analyst Intern are: Identifying opportunities to optimize existing product offerings, distribution, and pricing; Reporting periodically on operational and financial metrics, and creating an economic valuation of E15’s bottom-line impact; Communicating key guest insights and industry trends; Performing quarterly & annual partner reviews; Managing or directly completing ad hoc analytics projects as appropriate; Partnering with E15’s data engineering team to maintain data accuracy & cleanliness for proper analysis; Observe food and beverage operations on gamedays to better understand bottlenecks, points of friction, and identify further areas of opportunity through contextualizing the data; Develop reporting (heat maps, dashboards, slide decks, status updates) standards and formats for partner and operator end use; Analyze and build optimal solutions around specific business needs (labor, speed of service, menu concentration).