Manager, Ticketing Analytics
Quick Summary
Set and adjust ticket pricing across HBSE properties based on market health, demand signals, and internal sales strategies. Partner with the Senior Director to design, test,
2-4 years of experience in pricing/revenue management or data science/analytics, ideally with exposure to both a hands-on technical function and a pricing or commercial strategy function.
Responsibilities
~1 min read- →Set and adjust ticket pricing across HBSE properties based on market health, demand signals, and internal sales strategies.
- →Partner with the Senior Director to design, test, and refine pricing and inventory management strategies across single-game and multi-game ticket products.
- →Build and maintain analytical models supporting demand forecasting, price elasticity, inventory/product valuation, and revenue optimization that directly inform pricing decisions.
- →Lead experimentation on new pricing and inventory management approaches, applying findings to live pricing decisions and scaling results to future seasons.
- →Own ad-hoc and ongoing reporting and dashboards that inform business decisions, including querying, cleaning, and analyzing complex data sets.
- →Maintain clear documentation of system design and logic to support team scalability and continuity.
- →Create and monitor relevant KPIs to track performance against revenue and sell-through goals and surface actionable business insights.
- →Communicate analysis, recommendations, and pricing strategy clearly to audiences ranging from Strategy + Analytics peers to senior executives.
Requirements
~2 min read- 2-4 years of experience in pricing/revenue management or data science/analytics, ideally with exposure to both a hands-on technical function and a pricing or commercial strategy function.
- Experience setting or directly informing pricing decisions within a revenue management, dynamic pricing, or similar commercial function.
- Strong experience querying and working with structured data using SQL.
- Proficiency in Python or R for data science and analytical work preferred.
- Demonstrated experience building predictive models (forecasting, regression, or similar) and applying them to real pricing or business decisions.
- Experience with experimental or causal analysis methods (A/B testing, causal inference, quasi-experimental design, or similar)
- Experience using Databricks/Snowflake for querying and predictive modeling on large datasets preferred.
- Experience with a data visualization tool (Tableau, Power BI, etc.) and building reporting for non-technical audiences.
- Demonstrated ability to communicate data-driven insights and pricing recommendations to a range of audiences, including senior stakeholders.
- Must be a strategic and critical thinker who is comfortable operating with ambiguity and open-ended projects.
- Must possess outstanding problem-solving capabilities and be willing to approach undefined projects with proactiveness, tenacity, and rigor.
- Ability to move quickly learning a new data and ticketing environment to making pricing and inventory decisions within it.
- Sports and entertainment industry experience, particularly in ticketing, live events, or venue operations, preferred.
- Comfort using AI-assisted tools to accelerate coding, analysis, or documentation workflows a plus.
- Travel Requirements May be required to travel (<5% travel); trips may require air travel and/or overnight stay for one or more nights
- Work Environment: This position predominantly requires that work be performed from the Prudential Center/New Jersey Devils offices, but attendance at events taking place in the arena or offsite, including on weekends and/or holidays, may be required.
- Physical Requirements: This position requires the ability to lift up to 15 pounds.
What We Offer
~2 min readThe pay range for this position at commencement of employment is expected to be between $90,000 and $100,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
This position will be an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The benefits package for the position may include the following; subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria:
Location & Eligibility
Listing Details
- First seen
- September 25, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- September 25, 2026
Signal breakdown
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