Assistant Revenue & E-Commerce Growth Lead

25hours Hotels

Dubai

On-site

AED 300,000 - 456,000

Full time

14 days+

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Benefits offered by this job

Free hotel stays
Staff discounts worldwide
Partner offers
Staff events

Job summary

25hours Hotels in Dubai seeks a data-driven Revenue Manager to optimize room revenue and occupancy across all channels. You will monitor reservations, implement rate and inventory strategies, prepare forecasts, and present insights to senior management to drive performance.

Collaborate with E‑Commerce and Marketing to maximize ROAS and ensure pricing integrity. The ideal candidate has strong analytics, experience with PMS and revenue management tools, and proven ability to turn data into

Qualifications

  • Strong analytical skills with the ability to interpret complex data and generate actionable insights.
  • Experience with revenue management systems and PMS.

Responsibilities

  • Monitor reservations and revenue systems; ensure accurate availability, rates and inventory across channels.
  • Develops action plans to reach KPIs; forecast demand for groups and transient segments.
  • Coordinate rate changes and stay restrictions to reflect selling strategy.
  • Analyse market trends, competitor pricing and demand patterns to inform decisions with senior leadership.
  • Prepare weekly Rev Max meetings and slides for allied departments.
  • Collaborate with E‑Commerce and Marketing to optimize ROAS and digital campaigns.

Skills

Analytical thinking
Data-driven decisions
Excel
PMS experience
Communication

Education

Bachelor's degree in Hospitality Management
Revenue Management certification

Tools

Opera PMS
Excel
ForNova
Google Analytics

Job description

25hours Hotels in Dubai seeks a data-driven Revenue Manager to optimize room revenue and occupancy across all channels. You will monitor reservations, implement rate and inventory strategies, prepare forecasts, and present insights to senior management to drive performance.

Collaborate with E‑Commerce and Marketing to maximize ROAS and ensure pricing integrity. The ideal candidate has strong analytics, experience with PMS and revenue management tools, and proven ability to turn data into

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