Ticketing Analytics & Pricing Manager

Harris Blitzer Sports & Entertainment Career Center; New Jersey; On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401K

Paid Time Off & Holidays

Summer Fridays

Tickets for HBSE events

Job summary

Harris Blitzer Sports & Entertainment (HBSE) is seeking a Manager, Ticketing Analytics to lead pricing and inventory strategies for the New Jersey Devils, Philadelphia 76ers, and other HBSE properties. You will own end-to-end analytics, from data querying to strategic pricing recommendations, driving revenue and sell-through across live events.

You will build models for demand, elasticity, and product mix while leading experiments and communicating results to executive stakeholders.

Qualifications

• 2-4 years in pricing/revenue management or analytics with a mix of technical and pricing strategy work.
• Experience informing pricing decisions in revenue management or dynamic pricing contexts.
• Strong SQL querying and data manipulation skills.
• Experience building predictive models and applying them to pricing or business decisions.

Responsibilities

• Set and adjust ticket pricing across HBSE properties based on market health and demand signals.
• Design, test, and refine pricing and inventory strategies for single-game and multi-game tickets.
• Build analytical models for demand forecasting, price elasticity, inventory valuation, and revenue optimization.
• Lead experimentation and scale results to future seasons.
• Own reporting dashboards and data pipelines; communicate insights to stakeholders.

Skills

SQL

Python/R

Pricing analytics

Predictive modeling

A/B testing

Data storytelling

Tools

Databricks

Snowflake

Tableau/Power BI

Job description

Harris Blitzer Sports & Entertainment (HBSE) is seeking a Manager, Ticketing Analytics to lead pricing and inventory strategies for the New Jersey Devils, Philadelphia 76ers, and other HBSE properties. You will own end-to-end analytics, from data querying to strategic pricing recommendations, driving revenue and sell-through across live events.

You will build models for demand, elasticity, and product mix while leading experiments and communicating results to executive stakeholders.