Deskripsi Pekerjaan
Are you a detail-oriented individual with a passion for numbers and data? QANOVA Holdings Sdn Bhd is looking for a dedicated Revenue Assistant (Data Analyst) to join our dynamic team in George Town, Penang. In this pivotal role, you will support our revenue management team by ensuring accurate data analysis, comprehensive reporting, and strategic insights that drive our business growth.
This is a fantastic opportunity to work within a leading hospitality group where your analytical skills will directly impact revenue performance. You will be responsible for maintaining data integrity, generating performance reports, and assisting in forecasting activities. If you have a strong foundation in data handling and a desire to excel in a fast-paced environment, we encourage you to apply.
At QANOVA Holdings, we believe in nurturing talent and providing a collaborative workspace where your contributions are valued. As a Revenue Assistant, you will gain hands-on experience in revenue operations and business intelligence, setting a solid foundation for your career in the hospitality and tourism industry.
Tanggung Jawab
- Monitor and analyze daily, weekly, and monthly revenue figures to identify trends and variances.
- Prepare and present accurate, timely revenue reports and dashboards to management.
- Ensure all data entry is accurate, consistent, and up-to-date in internal systems.
- Assist in forecasting future revenue trends based on historical data and market analysis.
- Collaborate with the operations and sales teams to optimize pricing strategies and room availability.
- Identify discrepancies in data and work towards resolving them promptly.
- Maintain and organize databases, ensuring data hygiene across the organization.
Kualifikasi
- Diploma or Bachelor’s degree in Hospitality, Business Administration, Statistics, or a related field.
- Strong proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Macros) is essential.
- Basic understanding of revenue management principles and hotel operations is preferred.
- Excellent attention to detail and strong analytical thinking skills.
- Ability to work independently and meet tight deadlines in a fast-paced environment.
- Strong communication skills, both written and verbal, to convey complex data findings clearly.
- Proficiency in data visualization tools (e.g., Power BI, Tableau) is a plus.