The Analyst Sr., Revenue Management Science is responsible for creating advanced demand monitoring and customer behavior models; enhancing existing model performance and maintenance; providing consulting advice and tools to improve revenue management analyst performance and revenue maximization; utilizing science models to support executive reporting and budget/revenue forecasting.  Must demonstrate an ability to understand, analyze, and consider the interactions of various business variables, operational considerations, and data limitations in creating modeling that aligns with real-world behavior and allows users to draw insights, develop deeper understanding, and make better decisions that result in improved performance.  Must also be able to review modeling output against real-world behavior and make recommendations to manger, product management team, and senior-level leadership. An ability to communicate sophisticated modeling concepts in easy-to-understand business terminology across various levels of users is important to the success of this role.  This individual must be a self-starter who can move projects forward and develop analytical frameworks with a general understanding of a problem statement. This requires an ability to correctly define the business problem and assess the effectiveness of various modeling approaches when given a specific business question with minimal guidance from the management team. Must be able to lead small-to-medium sized efforts across teams from inception to completion.

ESSENTIAL FUNCTIONS:

• Develop, enhance a variety of mathematical models (includes data collection, analysis, prototyping, testing, creation of production systems, and development of performance metrics).
• Monitor model performance, re-calibrate, maintain, and recommend design enhancements.
• Develop tools/reports for analysts and management to monitor business trends, forecasts, and customer behavior.
• Provide assistance to upper management by way of ad hoc analyses to answer a variety of business related questions.
• Consult/train analysts and management on use of science models and tools.

QUALIFICATIONS:

• Bachelor’s Degree required: Quantitative discipline; Majoring in Operations Research, Industrial Engineering, Management Science preferred.   
• Minimum of 5 years’ experience preferred within a large corporation practicing revenue management or academic research on revenue management models and systems.
• Experience with Operations Research and Statistics software/tools, SQL, PL/SQL required; Some experience with SAS, Python, R, Hyperion, Tableau preferred.