Assistant Manager, Commercial Performance

POSITION SUMMARY

We are seeking a dynamic and analytical professional to join our Commercial team Assistant Manager, Commercial Performance. In this role, you will be responsible for formulating strategies and identifying opportunities to maximize total revenue across all operating departments, including Rooms, Food & Beverage, Spa, and other ancillary outlets, through data-driven insights and continuous performance monitoring. You will work closely with corporate leadership, Revenue Management, Operations, Finance, and hotel General Managers and strategy teams to develop and execute holistic strategies and long-term revenue plans to ensure total property profitability and alignment with business goals.

THE ROLE

Total Revenue Optimisation

• Analyse performance data across all revenue-generating channels, including Rooms, F&B (restaurants, bars, banquets), Spa, Wellness, and special events.
• Participate in and support the planning and execution of total topline pricing strategies for new and existing properties.
• Work with hotel teams to formulate and challenge annual and long-term total revenue plans and forecasts.
• Ensure all commercial strategies are rooted in sound judgment and comprehensive cross-departmental data analysis.

Data Analysis & Reporting

• Collect, clean, and analyse large volumes of data from various departments to uncover trends and actionable insights.
• Produce regular and ad hoc reports on Total Revenue, KPIs (RevPAR, TRevPAR, GOPPAR), and departmental profitability metrics.
• Utilize advanced tools such asHotelIQ, IDeaS G3 RMS, Excel, Power BI, and other management platforms to visualize total property performance.

Demand Forecasting & Trend Analysis

• Leverage IDeaS G3 RMS and HotelIQ to build accurate weekly, monthly, and annual topline forecasts across all operating departments.
• Monitor market trends and customer behaviour to predict demand patterns for Rooms, Spa, and F&B, adjusting strategies accordingly.
• Maintain historical data related to demand-generating events and analyse the effectiveness of cross-departmental promotions.

Collaboration & Strategy Development

• Collaborate with Marketing, Sales, and Operations teams to develop integrated promotional and pricing strategies that drive total guest spend.
• Support the implementation of advanced revenue management techniques, such as dynamic pricing for Rooms and F&B, and segmentation strategies across the portfolio.
• Share best practices and innovative profit-generating ideas for all operating departments across all properties.

Competitive & Market Analysis

• Conduct regular market analysis to understand key drivers, customer behaviours and competitor pricing.
• Support outlet-level teams in tracking and improving metrics such as Average Check, Average Spend per Cover, COGS and labour efficiencies.

Optimisation of F&B Operations

• Analyse labour costs and COGS across F&B and Spa to recommend strategies that improve operational efficiency and overall profit margins.
• Monitor total topline KPIs across properties and provide actionable insights for process and performance improvement.
• Ensure synergy and consistency in the use of revenue tools (IDeaS, HotelIQ), systems, and processes across all hotels.

Technology & Tools

• Leverage advanced analytics tools(e.g., IDeaS G3 RMS, HotelIQ, Excel, SevenRooms, Perfect Check, Power BI, WiseFins, etc.) to manipulate and visualise data. Stay updated on the latest technologies and methodologies in revenue management and data analytics for the F&B industry.

TALENT PROFILE

Qualification

Bachelor’s degree in Business, Hospitality, Economics, Data Science, or a related field.

Work Experience

3+ years of experience in revenue management, data analysis, or a related role in the hospitality industry covering multiple operating departments.

Experience with revenue optimization tools and/or pricing management platforms.

Knowledge of hotel operations, including Rooms distribution, F&B pricing, and Spamanagement.

Technical Skills

Proficient in data analysis tools (Excel, SQL, Power BI, Tableau)

Kindly note that only shortlisted candidateswill be contacted.