The ideal candidate will have a strong analytical background, advanced data skills, and the ability to communicate effectively with cross-functional teams to drive business outcomes. Most importantly, the ideal candidate will have a "get it done" mentality and drive work from inception to completion. This is a hands-on role and must be able to work with stakeholders to understand problems, work independently to fetch and transform data in SQL, and build dashboards + communicate insights and recommendations using Tableau, Excel, and other presentations. Experience in revenue management and finance functions is a plus.

Key Responsibilities:

Play a key part in delivering actionable insights that enhance the performance of revenue and commercial teams
Analyze large datasets to identify trends, patterns, and opportunities for revenue improvement.
Collaborate closely with stakeholders to understand business challenges and develop comprehensive analytics solutions that provide actionable insights.
Create, maintain, and refine dashboards, visualizations, and automated reporting processes using tools such as Tableau.
Serve as a subject matter expert in revenue data and analytics, ensuring consistency and accuracy of all reporting outputs.
Design and implement robust data models to support ongoing and ad-hoc analysis
Bring a "get it done" mentality to drive initiatives from beginning to end. This role should be able to manage work from inception to completion, and work with others to solve roadblocks and meet timelines.
This resources will report to the Direct of Data and Analytics (Revenue Management).

Qualifications:

6+ years of proven hands-on experience in data analytics, revenue management, pricing strategy, or accounting/FP&A ideally within a hospitality, travel, or service-based environment. Background in consulting or project-based work strongly preferred.
Technical Proficiency:

Expert-level skills in SQL for querying, data manipulation, and analysis.
Strong proficiency in data visualization tools like Tableau or Power BI, with the ability to create compelling dashboards and reports.
Familiarity with statistical analysis and modeling using tools such Python is a plus