Portfolio Revenue Analyst - Indonesia
Summary
Analyze hotel revenue data, market trends, and competitor insights to optimize pricing and forecasting for a portfolio of hotels, partnering with revenue managers to drive commercial performance.
Introduction
Turn data into strategy and help hotels unlock their full revenue potential. This role offers a unique opportunity to work closely with revenue leaders across a portfolio of hotels, influencing pricing, forecasting, and commercial decisions that directly impact business performance. If you enjoy combining analytical thinking with problem-solving and want to build a career in revenue management, this is an excellent opportunity to make an impact while accelerating your growth.
Your day to day
- Analyse revenue, market, and competitor data to provide insights that support pricing, forecasting, and performance optimisation across a portfolio of hotels.
- Partner with Revenue Managers and hotel stakeholders to support revenue meetings, maintain action plans, and identify opportunities to improve commercial performance.
- Monitor market trends, customer demand, loyalty performance, and distribution channels, translating data into actionable recommendations that drive revenue growth.
- Support forecasting and inventory management activities, ensuring pricing, availability, and demand strategies are aligned to maximise revenue opportunities.
- Maintain revenue management systems, reporting tools, and performance dashboards while contributing to special projects, market research, and ongoing process improvements.
What we need from you
- Strong analytical and problem-solving skills, with the ability to interpret data, identify trends, and translate insights into clear recommendations.
- Excellent proficiency in Microsoft Excel and PowerPoint, with confidence working with large data sets, reports, and presentations.
- Strong communication skills, with the ability to present information clearly and collaborate effectively with a range of stakeholders.
- A degree in Hospitality, Business, Finance, Analytics, or a related field, or equivalent experience in a data-driven environment.
- A proactive and detail-oriented mindset, with strong organisational skills and the ability to manage multiple priorities in a fast-paced environment.
#LI-SN1