Live Entertainment Pricing & Revenue Analyst (On‑Site)

Honda Center; Anaheim (CA); Vor Ort; USD 85.000 - 110.000; Vollzeit

Zusammenfassung

OC Sports & Entertainment, LLC is seeking a Pricing & Revenue Management Analyst in California to develop and execute pricing strategies for multiple venues, leveraging SQL, Python, and BI tools to maximize ticket revenue and event performance.

You will analyze sales data, market comparables, and demand signals to optimize pricing across seating categories and packages, while maintaining dynamic pricing models and dashboards for leadership review.

Qualifikationen

• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Business Analytics, or a related quantitative field.
• 2–5 years of experience in ticket pricing, revenue management, or a related quantitative analytics role.
• Experience in live entertainment, sports, or hospitality preferred.
• Advanced SQL and working knowledge of Python.
• Executive-level reporting using Power BI or Tableau.

Aufgaben

• Own event-by-event pricing strategy for inventory across multiple venues from initial on-sale to dynamic adjustments.
• Analyze historical sales, comparable-show performance, and secondary market data to set pricing across seating tiers.
• Manage inventory holds, presales, and outlet distribution to maximize revenue and sell-through.
• Build and maintain dynamic pricing models responding to real-time demand signals.
• Define, track, and report KPIs to measure pricing performance.

Kenntnisse

Pricing strategy

Revenue management

Data analysis

SQL proficiency

Python proficiency

Business intelligence

Ausbildung

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Business Analytics, or related field

Tools

SQL

Python

Power BI

Tableau

Jobbeschreibung

OC Sports & Entertainment, LLC is seeking a Pricing & Revenue Management Analyst in California to develop and execute pricing strategies for multiple venues, leveraging SQL, Python, and BI tools to maximize ticket revenue and event performance.

You will analyze sales data, market comparables, and demand signals to optimize pricing across seating categories and packages, while maintaining dynamic pricing models and dashboards for leadership review.