Manager, Ticketing Analytics

Hirebridge; Newark (NJ); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401K Match

Paid Time Off

Holidays

Event Tickets

On-site Fitness

Job summary

HBSE is seeking a full-time Manager, Ticketing Analytics to join the Strategy & Analytics team in Newark, NJ. You will lead advanced pricing and inventory management work across HBSE properties, building scalable pricing capabilities and providing data-driven recommendations to drive revenue.

You will own end-to-end analyses from data querying to business decision making, partner with senior leadership, and help shape dynamic pricing, product mix, and revenue optimization for live events across

Qualifications

• 2-4 years of pricing/revenue management or analytics experience.
• Experience informing pricing decisions within revenue management or pricing functions.
• Strong SQL querying and data wrangling skills.
• Proficiency in Python or R for data analysis.
• Experience building predictive models for pricing decisions.
• Experience with A/B testing or causal analysis methods.
• Experience with Databricks/Snowflake for querying/modeling.
• Experience with Tableau/Power BI and reporting for non-technical audiences.
• Strong communication of data-driven insights to executives.
• Ability to navigate ambiguity and drive defined outcomes.

Responsibilities

• Set and adjust ticket pricing across HBSE properties based on market signals.
• Design, test, and refine pricing and inventory strategies.
• Build analytical models for demand forecasting, price elasticity, and revenue optimization.
• Lead experiments and scale results to future seasons.
• Own reporting and dashboards with data querying and cleaning.
• Document system design to enable scalability.
• Create KPIs to track revenue and sell-through; surface insights.
• Communicate pricing recommendations to stakeholders and executives.

Skills

Pricing strategy

SQL

Python or R

Predictive modeling

A/B testing

Databricks/Snowflake

Tableau/Power BI

Data storytelling

Ambiguity tolerance

Communicating to executives

Tools

Databricks

Snowflake

Tableau

Power BI

Job description

POSITION OVERVIEW: HBSE is looking for a full-time Manager, Ticketing Analytics to join the Strategy & Analytics team and take on advanced, high-ownership work building out and executing pricing capabilities across the New Jersey Devils, Philadelphia 76ers, and more in the HBSE portfolio. Reporting directly to the Senior Director of Pricing Analytics, the manager will help run, design, and scale the pricing and inventory management systems that will power pricing and revenue management across all ticket products - all in a fast-paced, entrepreneurial, high-performing work environment.

This role calls for an experienced individual who can take on advanced, ambiguous projects that require judgment and prior experience to execute well. You will help build and refine ticketing pricing strategies and inventory management approaches, working hands-on with data that directly shapes how our pricing capabilities scale and mature over time.

In addition, you will be responsible for harnessing the power of ticketing and fan data to perform quantitative and qualitative analyses related to dynamic pricing, inventory management, and product mix, while translating that analysis into pricing strategy and business recommendations. The role requires end-to-end ownership, from querying and modeling data to making strategic business decisions, to communicating and defending recommendations to stakeholders across the organization.

RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO THE BELOW:

• 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.

QUALIFICATIONS:

• 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.

WORKING CONDITIONS:

• 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.

COMPENSATION AND BENEFITS:

The 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:

• Medical/Dental/Vision/Flexible Spending Accounts
• Pretax Transportation Benefit
• Generous Parental Leave policies
• 401K (with a company match after 1 year of service)
• Generous Paid Time Off policies
• 13 Paid Holidays
• ½ Day Summer Fridays
• Complimentary or Discounted Sports & Concert Tickets
• On Site Fitness Rooms
• Other League & Partner Discounts

Details of participation in these benefit plans will be provided if a candidate receives an offer of employment.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.