Fall Internship Opportunity - Revenue Operations
Location: 100 Hamilton Plaza & Hinchliffe Stadium, Paterson, NJ
Duration: Seasonal (September- December)
Reports to: VP, Revenue & Events (Consumer Products & Ticketing)
About the Cosmos
The New York Cosmos Soccer Club is a professional team dedicated to delivering an exciting and memorable experience both on and off the field. With a proud history and a commitment to excellence, we strive to inspire our community through the world’s most popular sport. We will begin playing in USL League One in March 2026. We are seeking enthusiastic, driven, and creative interns to join our team and gain hands-on experience in the sports industry.
About the Role
We’re looking for a driven and detail-oriented Revenue Operations Intern to join our Revenue team, with a unique opportunity to gain hands-on experience across two key business areas: Consumer Products and Ticketing. This internship is ideal for a student pursuing a degree in Sports Business, Business, Merchandising, Marketing, Economics, Finance, or Accounting who wants to understand the inner workings of revenue generation in a dynamic, fast-paced organization.
As a Revenue Operations Intern, you will split your time between the merchandise and consumer products side of the business and the ticketing and live events revenue function. You’ll get practical exposure to analytics, operations, pricing strategy, and revenue reporting, while learning what it takes to drive commercial success in the sports and entertainment industry.
Key Responsibilities
Consumer Products (Merchandise) Focus:
• Assist in tracking product performance and identifying key sales trends.
• Support merchandising operations and product lifecycle processes.
• Help monitor inventory, SKU-level data, and vendor relations.
• Conduct competitor and market research for pricing, trends, and placement.
• Participate in planning sessions for product launches and sales strategies.
Ticketing Revenue Focus:
• Support the ticketing team in pricing analysis and yield optimization.
• Assist in collecting, cleaning, and analyzing ticket sales and fan engagement data.
• Assist with reporting on ticket sales, promotions, and attendance metrics.
• Prepare and maintain reports and dashboards to track key performance indicators (KPIs) such as attendance, sell-through rates, and promotion effectiveness.
• Learn how to use ticketing platforms, CRM tools, and analytics software to support decision-making.
• Learn about CRM and ticketing platforms, sales funnels, and fan engagement strategies.
• Participate in game-day operations, ticketing activations, and event execution (if applicable)
Requirements:
• Currently enrolled in a Bachelor's program in Sports Business, Business, Merchandising, Marketing, Economics, Finance, Accounting, or a related field.
• Strong analytical and problem-solving skills.
• Proficient in Excel and comfortable working with data (pivot tables, basic formulas).
• Strong communication and organizational skills.
• Ability to work both independently and collaboratively across teams.
• Interest in the business of sports, merchandising, and fan engagement.
Nice to Have:
• Experience using business intelligence tools (e.g., Tableau, Power BI, Looker).
• Familiarity with POS systems, ticketing platforms, or e-commerce platforms.
• Understanding of basic financial or operational reporting principles.
What You’ll Learn:
• How consumer products and ticketing drive revenue and brand loyalty.
• The fundamentals of revenue operations across two distinct verticals.
• Tools and strategies for inventory management, sales tracking, and performance reporting.
• Cross-functional collaboration with marketing, finance, and operations teams.
• Best practices in pricing strategy, forecasting, and real-time decision-making.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
