Senior Manager, Ticketing Strategy & Analytics

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

THE NHL OFFERS

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?