Position Summary:
The Business Intelligence Intern will support the Club’s data and analytics efforts across multiple business areas, including ticketing, marketing, partnerships, and fan engagement. This position provides hands-on experience in building dashboards, analyzing fan and sales data, and supporting the ongoing development of the Club’s data infrastructure.
Essential Duties and Responsibilities:
Assist in building and maintaining data visualizations, reports and workflows to support cross departmental business units.
Use Excel and business intelligence tools (e.g. Salesforce, Tableau) to explore data, identify trends, and prepare reports for leadership.
Assist with data entry, updates, and maintenance while ensuring accurate, organized records through data validation, integrations, and documentation.
Assist in KPI tracking, sales pacing, and retention analysis for revenue and engagement metrics.
Contribute to fan segmentation projects.
Perform other related duties and projects as assigned.
Qualifications
Currently enrolled in a Bachelor’s or Master’s program in Business Analytics, Statistics, Data Science, Information Systems, Sports Management, or related field.
Prior experience or coursework in CRM, data analytics or Business Intelligence preferred
Proficient in Microsoft Excel, Word, PowerPoint and comfortable learning new software systems.
Familiar with Power BI or Tableau preferred.
Exposure to Python, R or SQL a plus.
Sports industry experience a plus.
Knowledge, Skills, and Abilities
Detail-oriented and highly organized, with a strong analytical mindset and natural curiosity.
Excellent communication, problem-solving, and interpersonal skills.
Ability to manage multiple tasks, projects, and deadlines in a fast-paced environment.
Collaborative, team-oriented attitude with a commitment to service excellence and continuous learning.
Professional, dependable, and able to handle sensitive information with discretion.
Learning Objectives
Gain hands-on experience with CRM systems, marketing data, BI tools, and analytics.
Learn how integrated systems drive fan engagement and business performance.
Develop skills in reporting, operations, and cross-functional teamwork.
See how analytics informs and improves strategic decisions.
Understand how CRM, ticketing, and fan data connect within the sports industry.
Estimated Workload
Hours per week: 25-30 hours average
Duration: 8 months (May–Dec)
On-Site only
Shifts may include event days, evenings, and/or weekends as needed.