Senior Revenue Analyst – Ski Resort Yield & Growth

Mammoth Mountain; Mammoth Lakes (CA); Sur place; USD 75 000 - 95 000; Plein temps

Avantages offerts par ce poste

401k with company match

Free season pass

Résumé du poste

Mammoth Mountain is seeking a Senior Revenue Analyst to maximize revenue across resort products. You will report to the Director of Revenue Management and own pricing, yield strategies, and related analytics, working with multiple departments to drive profitability.

Responsibilities include generating reports, managing data from various systems, and collaborating with finance, marketing, and operations to implement pricing and inventory changes. The role emphasizes data-driven decision making.

Qualifications

• Bachelor's degree in economics, finance, accounting, math, statistics, or related field.
• 2+ years of analytic or Revenue Management experience.
• Experience in travel or ski industry preferred; strong yield management concepts.

Responsabilités

• Analyze pricing, yield strategies, and performance metrics to meet revenue targets.
• Lead weekly, monthly, yearly pricing and yield planning processes.
• Develop and deliver regular reports for RM, Finance, and Marketing.
• Understand database structure to retrieve data from multiple systems.
• Provide pricing and inventory recommendations to stakeholders.
• Collaborate with Finance, Marketing, Ops, and Call Center to optimize decisions.
• Update lodging yield data in the PMS per guidance.

Connaissances

Advanced Excel

Data analysis

Revenue/Yield management

Communication skills

Cross-functional collaboration

Formation

Bachelor's degree in Economics/Finance/Accounting/Math/Statistics

Outils

SQL

Description du poste

Mammoth Mountain is seeking a Senior Revenue Analyst to maximize revenue across resort products. You will report to the Director of Revenue Management and own pricing, yield strategies, and related analytics, working with multiple departments to drive profitability.

Responsibilities include generating reports, managing data from various systems, and collaborating with finance, marketing, and operations to implement pricing and inventory changes. The role emphasizes data-driven decision making.