Business Intelligence Intern at Charlotte Hornets in Charlotte, NC

Summary: Hornets Sports & Entertainment (HSE) is a leading sports and entertainment organization dedicated to excellence both on and off the court. HSE is seeking a Business Intelligence Intern to support the Revenue division through data-driven insights that inform ticketing, partnerships, and marketing strategy, offering hands-on experience at the intersection of analytics and business strategy. Responsibilities: - Support ongoing projects for Business Intelligence, Partnerships, Ticketing, Marketing, Mobile App and other areas of the business - Provide insights using data on consumer behavior, attitudes, demographics and more - Review and maintain current Tableau dashboards and optimize SQL queries - Assist with organizing, cleaning and managing data in CRM - Participate in the full internship program, including workshops, speaker series, job shadowing and working on an intern project - Perform other duties as assigned Required Qualifications: - Graduate or current student pursuing a degree in Statistics, Mathematics, Business Administration, Computer Science, or a related field, or equivalent relevant experience - Interested in working in the sports industry, specifically within Business Intelligence - Male collegiate basketball players must have exhausted their NCAA eligibility before participating in the HSE internship program - Detail-oriented, self-starter with proven ability to learn new skills quickly - Possess strong analytical, creative problem-solving, and project management skills - Advanced experience with Microsoft Excel - Availability to work Hornets home games, including nights, weekends, and holidays Preferred Qualifications: - Experience with market research is preferred - Experience with data visualization tools (Tableau preferred) is preferred - Experience with SQL or other database languages is preferred - Experience with data science and statistical software (R, Python) is a plus - Experience with HTML is a plus Required Skills: Data visualization (Tableau), SQL Important Skills: Microsoft Excel, Data science R, Data science Python Nice-to-Have Skills: Market research, HTML, Analytical skills, Project management, Creative problem-solving