Business Analytics, Student Associate

Summary:

This position, reporting to the Director, Ticket Strategy, is responsible for supporting optimal decision-making through data analytics across revenue-generating departments. The Intern, Business Analytics will conduct various technical analyses to generate insights from multiple data sources. Significant collaboration with marketing and revenue-generating departments will be required. Strong written and oral communications skills will be required in producing documents to be presented to senior Nationals executives.

Essential Duties and Responsibilities:

• Contribute to analytics projects, applying a wide range of methodologies, to support decision-making in revenue generating departments
• Conduct secondary research as needed, including information from industry associations and research papers
• Develop a deep understanding of the Nationals’ key data sources and Customer Data Platform; validate accuracy of data through testing
• Support ticketing optimization through channel, campaign, and pricing analyses, as well as predictive modeling
• Conduct various analyses to assess the effectiveness of multiple marketing media, including nationals.com, email, digital advertisements, and SMS
• Analyze concessions (food & beverage) data to generate insights on areas such as impact of promotions, operational bottlenecks, and usage of mobile ordering and virtual currency
• Analyze retail (merchandise) data to generate insights on areas such as sell-through rates, inventory management, and impact of promotions
• Support developing the go-to-market plan for all integrated marketing efforts
• Produce compelling presentations to visualize key observations and insights
• Other duties as assigned 

Requirements:
Minimum Education and Experience Requirements:

• Rising senior in undergrad with a focus on in engineering, mathematics, business, economics or a closely related field

Knowledge, Skills, and Abilities necessary to perform essential functions:

• Ability to understand key business implications from extensive data in a data warehouse
• Ability to extract key insights from large, unstructured datasets and synthesize into key recommendations for leadership
• Proficiency in Microsoft Excel, PowerPoint, and Word
• Proficiency in statistical software, such as R and Python
• Proficiency in SQL
• Proficiency in data visualization tool, such as Tableau
• Strong attention to detail
• Ability to work as a member of a fast-paced and cross-functional team
• Strong sense of ownership and accountability—a self-starter
• Excellent communication skills and ability to tailor and present key messages to the appropriate audience

Physical/Environmental Requirements:

• Office: Working conditions are normal for an office environment. Work may require occasional weekend and/or evening work.