Senior Manager, Ticketing Strategy & Analytics
Founded in 1917, the National Hockey League (NHL®) is the premier professional ice hockey league in the world and is one of the major professional sports leagues in the United States and Canada.
WHAT WE EXPECT OF YOU
SUMMARY
The NHL is seeking a Senior Manager, Ticketing Strategy & Analytics, who will serve as a key member of the Club Services & Strategy team, responsible for deriving data driven insights that support primary and secondary market ticketing performance, and strategic growth initiatives across all 32 Clubs.
- Analyze League and Club fan (BLADE) data to identify trends, behavioral patterns, and growth opportunities.
- Interface directly with NHL Clubs to assess fan data, provide club-specific insights, and support data-driven decision-making.
- Lead analytic to identify revenue‑generating opportunities and performance efficiencies.
- Lead the buildout and ongoing enhancement of Tableau dashboards, reporting suites, and analytic frameworks used by Clubs and League executives.
- Support and refine data flows into the NHL’s internal ticketing data warehouse.
- Translate complex quantitative findings into compelling narratives, visualizations, and business recommendations.
- Oversee analytics related to leaguewide primary and secondary market performance, including pricing, demand forecasting, yield optimization, and consumer behavior trends.
- Provide executive‑ready insights that inform the League’s ticketing strategy, premium seating initiatives, and cross‑Club benchmarking.
- Ensure the quality, consistency, and reliability of all reporting outputs.
QUALIFICATIONS
Knowledge Areas/Experience
- The ideal candidate will, at minimum, have a degree in a relevant area from a four-year college or university
- 5-7 years of work experience data strategy or analytics, or business intelligence role, preferably within a major professional/collegiate sports team or league (NHL, MLB, MLS, NBA, NFL, NCAA), but industry experience is not required
- Proven experience leading high‑visibility analytics initiatives that supported executive or C‑suite stakeholders
- Strong technical proficiency including:
- Advanced Tableau skills, including dashboard development and visualization best practices
- Strong Excel and PowerPoint skills
- Intermediate‑to‑advanced SQL proficiency
- Experience with Python or R preferred (for statistical modeling, automation, or data manipulation)
- Familiarity with fan data platforms, CRM systems, or ticketing data ecosystems a plus
- Exceptional analytical, problem‑solving, and critical‑thinking skills
- Ability to distill complex data into simple, actionable insights for senior leadership
- Strong interpersonal skills with the ability to influence cross‑functional teams and build trusted partnerships
- High attention to detail, strong organizational skills, and the ability to manage multiple projects simultaneously
- Proactive, adaptable, and motivated to independently acquire and absorb knowledge, skills, and emerging techniques and technologies
- Ability to maintain discretion, confidentiality, and professionalism when handling sensitive information
- Ability to travel periodically (domestic and international) and work non-standard hours as needed
These core competencies reflect the underlying values that are necessary to represent the National Hockey League:
- Accountability
- Adaptability
- Communication
- Critical Thinking
- Inclusion
- Professionalism
- Teamwork & Collaboration
The NHL offers U.S. regular, full-time employees:
Job Questions:
This position will be based in our New York City Office. Are you willing and able to commute to our office for this position?
If you are not currently living in the tri-state area, are you willing and able to relocate at your own expense for this position?
Do you have the legal right to work in the United States?
Will you now or in the future require visa sponsorship to continue work in the United States?
What are your salary expectations for this role? (NOTE: We are NOT asking for your current salary or salary history)
How did you hear about this position? Where did you first see this role posted?
On a scale of 1-10 where 10 is the highest, please rate your proficiency with statistical or programming languages (e.g. Python, R)?
On a scale of 1-10 where 10 is the highest, please rate your proficiency with data visualization tools (e.g. Tableau, Looker, PowerBI, Qlik).
On a scale of 1-10 where 10 is the highest, please rate your proficiency with Microsoft Excel.
Describe two highly visible analytics projects you have worked on that supported executive leadership. These could include enterprise-wide reporting packages, C‑suite briefings, ad-hoc requests, strategic insights, or other impactful analyses.
Do you have 2+ years of work experience in a similar role? If yes, where and in what role?