Revenue Manager
Overview
Revenue managers study demand, prices, and booking information to help hotels set the right prices and earn more revenue.
Description
- Study booking patterns, demand, and competitor prices to predict revenue accurately.
- Set room prices and availability to increase occupancy and profit.
- Track revenue results daily, weekly, and monthly, and adjust when needed.
- Work with sales, marketing, reservations, and operations teams to align revenue plans.
- Prepare revenue reports and share insights with hotel management.
Entry requirements
- You will need a Diploma or Bachelor's Degree in Hospitality Management, Business, Finance, Economics, or related field. You'll need experience in hotel operations or reservations, plus understanding of hotel revenue concepts like occupancy, ADR, and RevPAR.
Salary
$3,700 – 4,700
/mo
Salary ranges are estimated based on public information found on Singaporean job portals, including MyCareersFuture, MySkillsFuture. Updated as of 2026.
Trivia
Ever notice that hotel prices change every minute? Revenue managers use 'dynamic pricing' algorithms similar to Grab surge pricing. If it rains or a concert is announced nearby, they may hike room rates instantly.
What to expect
You should be comfortable working with numbers, trends, and systems daily. Being familiar with how pricing decisions affect both guests and operations will help you succeed.
Soft
skills
Confident Decision-Making
Able to confidently set prices and justify your decisions.
Strategic Persuasion
Able to convince sales teams not to sell rooms cheaply when you can sell them for more elsewhere.
Data-Driven Foresight
Trained to look at today's data and predict what will happen months from now to make smart pricing decisions.
Revenue Metrics and Performance Analysis
Familiar with key hotel metrics such as Occupancy, ADR (Average Daily Rate), and RevPAR and their application.
Revenue Systems and Software
Familiar with using revenue management systems like IDeaS or Duetto and property management systems like Opera.
Excel Forecasting and Dynamic Pricing
Skilled in building forecasting models using Excel Pivot Tables and VLOOKUP, and apply pricing strategies based on demand.