Short-Stay Revenue Analyst: Pricing & Forecasting

Rosewood Hotel Group

Hong Kong

Presencial

HKD 300 000 - 520 000

Tempo integral

14 dias+

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Resumo da oferta

Rosewood Hong Kong is seeking a Revenue Analyst - Short Stay to optimize revenue for the hotel and the K11 ARTUS complex, focusing on transient segments including retail, negotiated, wholesale and group business, with emphasis on pricing, inventory, demand forecasting and distribution performance.

You will partner with the Complex Director of Revenue Management and Revenue Manager to produce reports, turn data into actionable recommendations, support daily controls and forecasting, and help

Qualificações

  • Bachelor’s degree or equivalent qualification in hospitality, business, finance, analytics or a related discipline is preferred.
  • Relevant experience in hotel Revenue Management, reservations, distribution, commercial analytics or a comparable analytical role.
  • Strong numerical, analytical and problem-solving capability, with attention to detail and data accuracy.
  • Working knowledge of hotel revenue management, property management, distribution and business intelligence systems.
  • Advanced proficiency in Opera Cloud, Microsoft Excel; ability to prepare clear reports and translate data into practical recommendations.
  • Effective communication, organization and stakeholder-management skills, with the ability to manage multiple deadlines.
  • Knowledge of the Hong Kong luxury hospitality market is preferred.

Responsabilidades

  • Prepare daily, weekly, monthly and long-range analysis for Rosewood Hong Kong and K11 ARTUS short-stay performance, including occupancy, ADR, RevPAR, revenue, booking pace, pickup and variance to forecast, budget and prior year.
  • Support pricing, inventory and availability recommendations by reviewing demand, booking windows, room-type patterns, length of stay, restrictions and displacement.
  • Maintain rolling forecasts and clearly identify material risks, opportunities and changes in demand assumptions.
  • Analyze transient, negotiated, wholesale, group and channel performance to support business-mix and segmentation decisions.
  • Monitor competitor pricing, market demand, events, consumer trends and other demand generators, and summarize actionable implications.
  • Review direct, GDS, OTA and third-party channel performance, including contribution, rate parity, content accuracy and cost efficiency.
  • Support revenue strategy for need periods, high-demand dates, promotions, groups and key commercial opportunities, including post-activity evaluation where required.
  • Produce accurate performance reports, dashboards and presentation materials for daily revenue discussions and commercial reviews.
  • Partner with Sales, Marketing, Reservations, Front Office, Finance and Operations to validate data and ensure approved pricing and inventory actions are implemented.
  • Support annual budget, business planning and scenario analysis for the short-stay portfolio.
  • Maintain data quality across revenue management, property management, distribution and reporting systems, escalating discrepancies and following through on resolution.
  • Identify opportunities to automate recurring analysis and improve reporting speed, accuracy and usability.
  • Model Rosewood Hotel Group culture, vision, mission and core values at all times.

Conhecimentos

Analytical
Revenue Management
Data analysis
Excel proficiency
Communication
Stakeholder management

Formação académica

Bachelor's degree or equivalent in hospitality, business, finance or analytics

Ferramentas

Opera Cloud
Microsoft Excel

Descrição da oferta de emprego

Rosewood Hong Kong is seeking a Revenue Analyst - Short Stay to optimize revenue for the hotel and the K11 ARTUS complex, focusing on transient segments including retail, negotiated, wholesale and group business, with emphasis on pricing, inventory, demand forecasting and distribution performance.

You will partner with the Complex Director of Revenue Management and Revenue Manager to produce reports, turn data into actionable recommendations, support daily controls and forecasting, and help

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