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Anaheimducks·5 days ago
5 days ago

Pricing & Revenue Management Analyst

Anaheim, United States of AmericaMid · 2-5 yearsAsset Manager

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Must-have skills for this role

  • sql
  • price optimization
  • python
  • power bi

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What you'll do

  • Own event-by-event pricing strategy for inventory of multiple venues — from initial on-sale pricing through dynamic adjustments across the event lifecycle
  • Analyze historical sales, comparable-show performance, and secondary market data to set and adjust pricing across seating categories, tiers, and packages
  • Manage inventory holds, presale allocations, and outlet distribution to maximize revenue and sell-through across every show
  • Build and maintain dynamic pricing models that respond to real-time demand signals — page views, sales velocity, and market comparables
  • Define, track, and report KPIs — average ticket price, sell-through rate, market share, tickets sold by price level, and year-over-year comparisons — to measure pricing performance
  • Build and maintain actionable Power BI dashboards that give finance and venue leadership a trusted, self-serve view of pricing and sales performance
  • Validate and maintain SQL-based data pipelines and warehouse views that pricing decisions depend on
  • Translate pricing data into clear, defensible recommendations for non-technical key stakeholders, such as promoters and venue leadership
  • Apply AI and LLM-powered tooling to accelerate demand analysis and pricing recommendations

What they're looking for

  • Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Business Analytics, or a related quantitative field, or equivalent combination of education and experience
  • 2–5 years of experience in ticket pricing, revenue management, or a related quantitative analytics role
  • Advanced SQL and working knowledge of Python — comfortable building and maintaining warehouse views others rely on
  • Statistics applied in practice: forecasting, demand modeling, and price optimization — with the ability to explain results to non-technical stakeholders
  • End-to-end experience with Power BI and/or Tableau reporting (including data modeling and designing reports) for Executive leadership
  • Excellent Excel proficiency and strong attention to detail in data validation and reporting
  • AI-native: treats AI-assisted tooling as a genuine productivity multiplier, not a novelty

Nice to have

  • Experience in live entertainment, sports, or hospitality preferred
  • Working knowledge of ticketing platforms (Ticketmaster Archtics or equivalent) is a strong plus

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

A great experience starts with you!

Join our team to help create and develop the future of live entertainment and sports in Orange County!

Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.


Mission: To be a place where the everyday becomes extraordinary - and the potential is unlimited. Where every experience can change you


Vision: We are the gathering place of Orange County


Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold

Job Title:

Pricing & Revenue Management Analyst

Pay Details:

The annual base salary range for this position in California is $85,000 to $110,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate’s geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.

The Pricing & Revenue Management Analyst is responsible for developing and executing pricing strategies across OCVIBE venues to maximize ticket revenue, sell-through, and overall event performance. This role analyzes historical sales, market comparables, demand signals, and inventory trends to establish and adjust pricing throughout the event lifecycle.

The Analyst also builds and maintains dynamic pricing models, dashboards, and reporting tools; manages inventory and presale allocations; and translates complex pricing data into clear recommendations for promoters, Finance, and venue leadership. The role combines revenue management, quantitative analysis, and business intelligence, leveraging SQL, Python, Power BI/Tableau, and AI-enabled tools to support timely, data-driven pricing decisions

Responsibilities

  • Own event-by-event pricing strategy for inventory of multiple venues — from initial on-sale pricing through dynamic adjustments across the event lifecycle

  • Analyze historical sales, comparable-show performance, and secondary market data to set and adjust pricing across seating categories, tiers, and packages

  • Manage inventory holds, presale allocations, and outlet distribution to maximize revenue and sell-through across every show

  • Build and maintain dynamic pricing models that respond to real-time demand signals — page views, sales velocity, and market comparables

  • Define, track, and report KPIs — average ticket price, sell-through rate, market share, tickets sold by price level, and year-over-year comparisons — to measure pricing performance

  • Build and maintain actionable Power BI dashboards that give finance and venue leadership a trusted, self-serve view of pricing and sales performance

  • Validate and maintain SQL-based data pipelines and warehouse views that pricing decisions depend on

  • Translate pricing data into clear, defensible recommendations for non-technical key stakeholders, such as promoters and venue leadership

  • Apply AI and LLM-powered tooling to accelerate demand analysis and pricing recommendations

Qualifications:

  • Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Business Analytics, or a related quantitative field, or equivalent combination of education and experience

  • 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 — comfortable building and maintaining warehouse views others rely on

  • Statistics applied in practice: forecasting, demand modeling, and price optimization — with the ability to explain results to non-technical stakeholders

  • End-to-end experience with Power BI and/or Tableau reporting (including data modeling and designing reports) for Executive leadership

  • Working knowledge of ticketing platforms (Ticketmaster Archtics or equivalent) is a strong plus

  • Excellent Excel proficiency and strong attention to detail in data validation and reporting

  • AI-native: treats AI-assisted tooling as a genuine productivity multiplier, not a novelty

Knowledge, Skills, and Experience

Education - Bachelor's Degree

Experience Required - 2+ Year

This position is on-site.

Company:

OC Sports & Entertainment, LLC

Our Commitment:

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws.  We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Thanks for your interest in becoming part of OCVIBE!

Company

Anaheimducks
Anaheim, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Anaheimducks's careers site·first seen 15 Sept 2026·last verified 15 Sept 2026·How we source jobs

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