Senior Analyst, Revenue Optimization

Job Responsibilities

• Analyze reservation and rental transaction trends across resorts to identify seasonality, demand drivers, and revenue performance patterns.
• Build and maintain demand forecasting models (e.g., regression, time series) and pricing bridges (e.g., subseason, geography, resort mix) to guide pricing and revenue decisions.
• Write Snowflake SQL queries and build Excel-based financial models to size new business opportunities, evaluate program performance, and support annual budget planning.
• Use Tableau Prep and Tableau Desktop to clean data and build dashboards that translate analysis into stakeholder-ready insights.
• Partner with Finance, Marketing, and Business Development to align forecasts, pricing recommendations, and new program business cases with broader business objectives.
• Present findings and recommendations to senior leadership in a clear, concise, and actionable format.
• Ensure data accuracy, completeness, and consistency across routine reporting and ad hoc analyses.

Job Requirements

• Bachelor's degree in Business, Economics, Statistics, Finance, or a related field, or equivalent practical experience.
• 3-5 years of experience in an analytical role, preferably in pricing, demand forecasting, or revenue optimization.
• Expertise in statistical forecasting techniques (e.g., regression, time series) applied to pricing and revenue strategy.
• Proficiency in Tableau Prep, Tableau Desktop, Python (pandas), and SQL (Snowflake preferred) for data analysis and automation.
• Advanced Microsoft Excel skills, including formula-driven financial modeling and Power Query, to build business cases and scenario analyses.
• Experience working with large, complex datasets to deliver clear, actionable recommendations.
• Strong organizational and time-management skills, with the ability to manage multiple concurrent projects.