Data Analyst (Revenue Assistant)
Summary
Revenue analyst for a hospitality business in George Town, Penang: analyses market trends, competitor pricing (CompSet) and historical data to forecast occupancy, ADR and RevPAR, and manages dynamic pricing and room inventory across OTAs, GDS and direct channels against a monthly revenue target of 1.2mil+. Includes 24/7 on-call readiness for market shifts.
About the role
Lead revenue and market analytics for a hospitality business by turning market trends, demand signals, competitor pricing and historical performance into effective commercial strategies. The role will focus on optimising occupancy, Average Daily Rate (ADR), Revenue Per Available Room (RevPAR) and room capacity to support a monthly target of 1.2mil and above.
Key responsibilities
Analyse market trends, competitor pricing through CompSet and historical performance data to identify growth opportunities.
Generate accurate weekly, monthly and long-term forecasts for occupancy, ADR and RevPAR.
Implement fluid pricing strategies across online travel agencies (OTAs), global distribution systems (GDS) and direct distribution channels.
Optimise yield and revenue strategies in response to seasonal demand, market conditions and booking patterns.
Manage room availability, overbooking strategies and stay restrictions, including minimum length of stay requirements.
Monitor inventory performance and maximise room capacity across all distribution channels.
Maintain 24/7 on-call readiness to adjust strategies during high-impact market shifts, emergency bookings or sudden system errors.
Track performance against the monthly target of 1.2mil and above, identifying corrective actions where required.
Collaborate with commercial and operational teams to align pricing, forecasting and inventory decisions.
What we're looking for
Experience in revenue management, commercial strategy, pricing analytics, demand forecasting or a related hospitality function.
Strong understanding of hotel revenue metrics, including occupancy, ADR, RevPAR and yield optimisation.
Ability to analyse market, competitor and historical data and translate insights into commercial action.
Experience managing pricing and inventory across OTAs, GDS and direct booking channels.
Strong numerical, analytical and problem-solving skills.
Ability to work effectively in a fast-paced environment and respond quickly to changing market conditions.
Strong communication, coordination and stakeholder management skills.
Willingness to support 24/7 on-call operational requirements.