Manager, Revenue Strategy & Analytics

Overview

As Manager, Revenue Strategy & Analytics, you will lead a team that owns Strategic Ticket Revenue Initiatives amounting in excess of $250M in incremental annual net ticket revenue. This includes pricing and inventory strategies through the use of automation techniques to impact over 15 million price points for Revenue Management. This person will work across numerous departments to build consensus across pricing strategies, inventory utilization strategies, automation, and other revenue initiatives.

They will have exposure to and work closely with Revenue Management, Data Science & Analytics, IT and Commercial Strategy Senior Leadership.

• Own Pricing and Inventory Strategy for over 15M price points for the Royal Caribbean International Brand.
• Coach and Mentor a high performing team with various experience and technical expertise.
• Drive research and analyses efforts to identify opportunities for optimal revenue strategies.
• Manage testing efforts to define benefits and best practices for Revenue Management teams.
• Define user requirements and business needs to develop new tools and reporting related to Revenue Automation.
• Lead initiatives towards reaching 100% of price points managed through automation.
• Establish & Update automation KPI’s pertaining to performance of Revenue Strategies, Revenue Automation, and Metrics gauged by Senior Leadership.
• Report on status updates and findings through written and verbal means to Senior Leadership.
• Manage relationship with Data Science team to establish and build upon best practices regarding Testing, implementation of Automation Initiatives, and more.
• Manage tools/reporting/processes part of revenue initiatives implemented.
• Lead Change Management efforts to reach agreement on new strategies and develop an implementation plan and work with Revenue Management Product Teams to execute.
• Performs other duties as required. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

• Masters of Business Administration (MBA) or Master’s degree (MA) preferred but not required
• Bachelor’s degree (BA) from four-year college or university required with focus in quantitative discipline preferred
• 8+ years of related experience in financial/business analysis or related field preferred.
• Must be able to demonstrate understanding of Revenue Management concepts and tools or basic economics
• Previous experience with Sales or Marketing preferred but not required
• Previous experience in implementing system enhancements and decision-making tools preferred but not required
• Demonstrated experience in project management
• Previous experience with leading a team and coaching preferred but not required
• Demonstrated ability to develop and deliver high quality, clear and concise presentations

• Demonstrated aptitude for problem solving and problem identification
• Ability to collect, analyze, and interpret revenue performance data
• Ability to make strategic and tactical decisions with large financial impacts with minimal supervision
• Ability to structure logically quantitative analysis of complex issues
• Ability to operate in cross functional environment
• Ability to manage, coach and develop direct reports
• Knowledge of reservations system and revenue management data preferred but not required
• Excellent interpersonal skills, and demonstrated ability to work independently and use proper judgment
• Willingness to accept immediate product and project responsibility
• Strong written and verbal communication and presentations skills
• Ability to work in global environment
• Outstanding organizational skills and attention to detail is absolutely required
• Competency of computer systems and applications is essential, with an emphasis on the ability to access and manipulate data from a variety of sources
• Proficiency in Oracle SQL, Alteryx, Python, Azure Data Factory, Azure Databricks, Power BI / Tableau, Excel, Brio Intelligence / Hyperion Studio, Word & Power point…