Senior Club Revenue Analytics & Data Science Lead

National Football League; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

The National Football League is seeking a Sr. Manager of Club Revenue Analytics & Data Science to join our Data & Analytics team in New York.

Based in our New York office, you will collaborate with 32 clubs to turn business and fan data into scalable analytics products and measurable growth across ticketing, premium seating, sponsorship, and fan engagement. You will lead analytics, communicate insights to executives, and work with data engineering and BI to ensure data quality and governance.

Qualifications

• 7+ years in revenue analytics or related field with leadership.
• Proficiency in SQL and Python with large datasets.
• Experience guiding analytics initiatives and communicating to executives.

Responsibilities

• Understand analytics needs across the 32 clubs and translate into insights.
• Own analytics platforms for ticketing, premium seating, and sponsorship.
• Lead advanced analytics, KPI monitoring, segmentation, and modeling.
• Communicate findings clearly to senior stakeholders.
• Collaborate with BI, data engineering and technology teams.
• Perform data extraction and analysis using SQL and Python.
• Develop attribution models for data product impact.
• Partner with clubs and cross-functional teams to drive decisions.

Skills

SQL

Python

Data storytelling

Stakeholder management

Leadership

Analytics platforms

Project management

Education

Bachelor's degree in a quantitative field

Tools

Jira

Job description

The National Football League is seeking a Sr. Manager of Club Revenue Analytics & Data Science to join our Data & Analytics team in New York.

Based in our New York office, you will collaborate with 32 clubs to turn business and fan data into scalable analytics products and measurable growth across ticketing, premium seating, sponsorship, and fan engagement. You will lead analytics, communicate insights to executives, and work with data engineering and BI to ensure data quality and governance.