SEAK Portfolio Revenue Analyst - India
Hotel Brand:
Location: India, Gurgaon
Hotel: Corp India GSC Delivery Centre, 11th Floor, Building No. 10, Tower C, DLF Cyber City, DLF Phase II, 122002
Job number: 151708


Role Purpose
Provide support to our Revenue for Hire team (Property Revenue manager, Senior Property revenue manager, Regional Performance Directors) in order to drive revenue performance. The role will include sourcing and analysing data, drawing conclusions and presentation of findings.
Key Accountabilities
- Support Hotel and Regional Revenue lead to develop and implement strategies to ensure revenue and room night sales goals are achieved.
- Data analysis of past and future room data, producing reporting, forecasts and commentary as required.
- Providing analytical support for decision making in all revenue generating departments including Sales and Marketing, Rooms, Catering and Food & Beverage.
- Track and establish pick up trends, occupancy history and market segment development to facilitate forecasting
- Help team to prepare weekly, monthly hotel revenue meeting and Monthly regional revenue forum with DORM SEAK, on top of ad hoc reporting or tasks.
Key Skills & Experiences
Education
Bachelor’s degree in Statistics, Economics, Mathematics, preferred. Prefer an equivalent combination of education and work-related experienced.
Experience
Ideally 1-3 years’ experience in data analytics or revenue management related position preferred. Fresh graduate from above Bachelor degree with excellent Analytical skills are welcome to apply
Technical Skills and Knowledge
- Strong Analytical skills and number savvy
- Effective communicator, good presentation skills
- Ability to work on tight deadlines
- Demonstrate Logical and critical thinking
- Strategic planning skills
- Organizational skills
Below Technical skills will be an added advantage:
- Advanced MS Excel (VBA) and MS Access and/or other database application skills
- Intermediate to advanced Tableau Skills.
- Ability to handle large amounts of data and complex data structures
Who we are
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