Revenue maximization specialist
the ideal candidate will support the revenue department in establishing systems and strategies to maximize revenue. This role contributes to the development and implementation of performance strategies across the region, conducting primary and secondary research that influences the strategic direction of the revenue team.
duties and responsibilities:
* prepare daily, weekly, and monthly reports to monitor progress and identify areas for improvement.
* learn and become proficient in the revenue toolkit and information systems used by the organization.
* maintain a comprehensive regional knowledge base to inform revenue maximization efforts.
* support revenue growth by monitoring individual and group production, ensuring an optimal guest mix is maintained.
* assist in evaluating reservation requests to ensure high-yield revenue is not displaced.
* contribute to critical analysis of the impact of revenue strategies implemented in the region.
* assist with monitoring and managing revenue management system ideas.
* support audits of the region's presence in global distribution systems and other channels, ensuring alignment with sales strategies.
* analyze events and trends impacting property revenue.
* conduct research on competitors' revenue practices to identify opportunities for improvement.
* assist in demand forecasting and prepare reports for regular revenue meetings.
* support the implementation of revenue strategies and tactics across multiple distribution channels.
required skills and qualifications:
* bachelor's degree in business, economics, statistics, or related field (master's degree preferred).
* 3+ years of experience in data analysis, preferably in revenue or financial analysis.
* advanced proficiency in excel and sql.
* experience with data visualization tools such as tableau or power bi.
* strong analytical and problem-solving skills.
* excellent communication skills, both written and verbal.
* knowledge of statistical analysis and forecasting techniques.
* experience working with large datasets and complex data structures.
* understanding of revenue management principles.
* familiarity with financial reporting and accounting principles.
* ability to work efficiently and meet deadlines in a fast-paced environment.
* strong attention to detail and commitment to data accuracy.
* proactive approach to identifying opportunities for process improvement.