Revenue Optimisation Manager

Overview

The Revenue Optimisation Manager plays a pivotal role in maximizing revenue through detailed data analysis, forecasting, pricing strategy execution, and channel management. This position demands close coordination to uphold rate consistency and optimize distribution channels, while ensuring alignment with the core ethos of Shangri-La.

Key Responsibilities

• Compile and organize business intelligence using various BI tools for statistical and competitive data.
• Aggregate and assess data from multiple stakeholders to provide comprehensive insights.
• Facilitate data-driven decision-making by supporting analytic efforts.
• Assist in forecasting procedures by gathering required data and act as backup for Director of Revenue Management or Revenue Manager when needed.
• Maintain and update forecasts and reporting across all relevant systems and platforms.
• Implement Best Available Rate (BAR) and package pricing across channels; manage BAR restrictions as necessary.
• Collaborate with reservations to ensure optimal online channel configurations.
• Oversee channel manager operations to dynamically distribute rates on third-party platforms.
• Maintain rate parity across all sales and distribution channels.
• Support and advance inventory management and distribution efficiency strategies.
• Drive channel production efficiency with focus on cost control, guest loyalty, and integration seamlessness.
• Perform daily operational tasks and relationship management in alignment with Shangri-La’s values and standards.

Qualifications and Skills

• Bachelor's degree in Business Administration, Revenue Management, Hospitality Management, or a closely related discipline.
• Between two to three years experience in revenue management or a similar hospitality role.
• Competent in business intelligence platforms, forecasting software, and channel management tools.
• Advanced proficiency with Microsoft Excel and other data analysis applications.
• Strong analytical acumen with aptitude for dissecting intricate data sets.
• Excellent organization skills coupled with a keen eye for detail.