Revenue Optimization Manager

This position will work closely with the Regional Vice President, Regional Director of Sales and Marketing and property teams with a focus on establishing strategy to drive optimal revenue and profit. Hybrid and remote opportunity based on experience.

* Must be passionate about using data, quantitative analysis, and sophisticated analytics to develop optimal pricing, profitable revenue, and to drive change.
* Use knowledge of technical and managerial applications of reservation systems and yield management systems and their utilization by each hotel brand and White Lodging.
* Collaborate with Revenue Optimization Analysts.
* Responsible for demand forecasting, rate management, and inventory that capture the optimal revenue producing business for the hotel.
* Team with properties to complete financial forecasting.
* Utilize a variety of historic reports, pacing, segmentation, and pricing reports to enhance the demand forecasting processes.
* Conduct diagnostic analysis of hotel’s channel mix to optimize profitable revenue.
* Perform ongoing revenue and profit analysis to identify opportunities to grow revenue, market share, and profit.
* Create and analyze ad-hoc reports as needed/requested.
* Various other items as needed.

EDUCATION/EXPERIENCE

* Required:­Background/experience in one of the following disciplines: Mathematics, Statistics, Economics, Econometrics, Finance, Logistics, Supply Chain Management, or Engineering.­Understandings of statistical analysis procedures, including multivariate regression analysis, cluster analysis and/or forecasting methods.­Understanding of supply and demand modeling, and inventory management.­Proficient with Microsoft Excel­3-7 years work experience
* Desired:­Working knowledge of any data querying software (e.g. Cognos, Tableau, etc.)­Training and/or experience using a statistical software package such as R, Matlab, SAS, SPSS, or Stata.­Training and/or experience with Tableau (or similar).­Training and/or experience with linear programming, data envelopment analysis, or data mining techniques.