Analyst - Revenue Management at Wynn Al Marjan Island
, , United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Revenue Management, Booking Trend Analysis, Competitor Rate Tracking, Performance Reporting, Rate Updates, Availability Updates, Microsoft Excel, SQL, Power BI, Tableau, Competitive Intelligence, Market Analytics Platforms, Opera Cloud

Industry

Hospitality

Description
About Wynn Al Marjan Island: On schedule to open in the United Arab Emirates in Spring 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf. About the Position: Wynn Al Marjan Island is currently seeking a Revenue Analyst to join the resort’s Revenue Management team. The Revenue Analyst at Wynn Al Marjan Island supports strategic decision-making by analyzing booking trends, competitor rates, and key performance metrics. The role ensures accurate rate and availability updates across all channels and provides data-driven insights for marketing, sales, and operations. The primary duties and responsibilities of this role are: * Analyze booking trends by channel: Monitor and interpret booking data across all distribution channels, focusing on pace, booking window, length of stay, regrets and denials, and price elasticity to identify demand patterns and optimize revenue strategies. * Track competitor rates and availability: Conduct regular competitive set analysis to benchmark pricing and availability, using market intelligence tools to inform rate positioning and promotional tactics. * Report on key metrics for leadership: Compile and present performance reports and dashboards that highlight key revenue indicators for Revenue Management and senior executives to support strategic decision-making. * Update rates and availability in demand gateways: Maintain accurate rate and inventory data across all booking platforms; ensure precision in data entry and perform regular audits to validate both personal and team inputs. * Support marketing and operational strategy: Provide analytical insights and recommendations to marketing, sales, and operations teams on pricing, scheduling, advertising, and distribution to align with revenue goals. About You: The ideal candidate for this position will have the following experience and qualifications: * Revenue management experience is required. * A strong background in hotel operations or financial analytics is preferred. * Experience with the Opera Cloud property management system is preferred. * Proficiency in Microsoft Excel, SQL, and Power BI or Tableau is required. * Experience working with competitive intelligence and market analytics platforms (e.g. CoStar/STR, Fornova, Lighthouse) is required. * Bachelor’s degree is required, preferably in Hospitality Management, Business, Economics, or Finance disciplines. About Wynn Al Marjan Island’s Benefits: We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as life insurance, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicants seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.
Responsibilities
The Revenue Analyst will analyze booking trends across all distribution channels, track competitor pricing and availability using market intelligence tools, and compile performance reports for leadership. This role also involves maintaining accurate rate and inventory data across booking platforms and supporting marketing and operational strategies with data-driven insights.
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