layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Sr. Manager, Club Revenue Analytics & Data Science at NFL

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.
Required Qualifications
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.
Other Key Attributes / Characteristics
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.

Sr. Manager, Club Revenue Analytics & Data Science

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