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# Sr. Manager, Club Revenue Analytics & Data Science

- **Company:** National Football League
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, JIRA, Information Engineering, Data Mining, Python (Programming Language), SQL Databases, Data Analytics
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d3edead9f7d4afaa

## About the Role

The ideal candidate combines business acumen, data science and advanced analytics experience, executive communication skills, and a consultative mindset to turn insights into action., * Bachelor's degree in Data Science, Analytics, Economics, Statistics, Operations Research, Business Analytics, or a related quantitative discipline.

 * At least 7 years of relevant experience in revenue analytics, pricing, customer analytics, ticketing, consulting, ecommerce, hospitality, sports, media, or another commercially oriented industry or other relevant industry experience.
 * Demonstrated ability to structure ambiguous business problems, direct analytical work, and translate findings into clear commercial recommendations.
 * Strong proficiency in SQL and Python, with practical experience working with large customer, transactional, or behavioral datasets.
 * Experience with predictive modeling, customer segmentation, forecasting, experimentation or campaign measurement, and analytical storytelling.
 * Demonstrated experience leading complex analytical workstreams and coaching analysts
 * Proven ability to communicate with senior business and technical stakeholders and present complex analysis in a clear, concise, and influential manner.
 * Experience partnering with data engineering, BI, product, or technology teams to deliver scalable analytical solutions with strong data quality and governance.
 * 3 years of management experience., * Sports, clubs, ticketing, live events, venue, hospitality, airline, subscription, or revenue management experience.
 * Experience with Ticketmaster, SeatGeek, or comparable ticketing and live-event datasets.
 * Experience developing club-facing, client-facing, or executive-facing recommendations in a consulting or analytics advisory environment.
 * Excellent analytical and problem-solving skills with high attention to detail.
 * Strong communication skills, with the ability to convey complex analytical findings to stakeholders in a clear and concise manner.
 * Strong collaborator who communicates transparently, supports shared goals, and welcomes constructive challenges., * Embody an enthusiastic, proactive can-do attitude
 * Embrace grit, free from ego or entitlement
 * Excel as a relationship builder, with the ability to influence
 * Eager learner, driven by passion rather than just ambition
 * Encompasses an incredible work ethic with an agile mindset

## Description

* Manage and collaborate with stakeholders from Club Business Development and the 32 clubs to understand their analytics needs and deliver actionable insights.
 * Oversee the development and ongoing maintenance of comprehensive analytics platforms to support ticketing, premium seating and sponsorship analytics and insights.
 * Lead advanced analytics to evaluate ticketing, premium seating, and sponsorship behavior, including KPI monitoring, segmentation, customer profiling, and predictive modeling.
 * Effectively communicate analytical findings to stakeholders, translating complex data analysis into clear and concise insights.
 * Collaborate with BI and technology teams to ensure ticketing, premium seating, and sponsorship platforms receive accurate, reliable data through regular quality audits and validation.
 * Perform data extraction, transformation and analysis using SQL and Python.
 * Develop and implement attribution models to measure the impact of different League-provided data products.
 * Work with the BI COE to create dashboards to provide insights and recommendations based on analytics findings.
 * Stay updated with industry trends and best practices in club analytics and data quality management.
 * Collaborate with cross-functional teams, including Club Business Development, Marketing and the 32 clubs to align analytics initiatives and drive data-driven decision-making.
 * Collaborate with analytics consulting vendors.
 * Foster a collaborative and agile work environment, leveraging tools like Jira for project management and task tracking.