Shangri-La International Hotel Management Ltd.

Shangri-La Hotels and Resorts is a global leader in luxury hospitality with unique Asian heritage.

Headquartered in Hong Kong, we have over 100 hotels and resorts under four brands nested in key cities and beautiful beachfront locations globally. We are expanding rapidly with a strong development pipeline throughout Asia, the Middle East, Europe and Africa.

Regarded as one of the world’s finest hotel ownership and management companies, Shangri-La is dedicated to delight guests around the world with legendary service, finely tuned from over 45 years of hospitality from the heart. We have an affinity with Asian travelers and we offer them a gateway to the rest of the world, positioning us a leading brand in luxury hospitality.

Manager Revenue Optimization (Business Insights)

We are hiring a key member of the global revenue optimization team based out of Hong Kong and will be responsible for developing reporting and dashboard to provide fact-based analysis for management decision. He/she will focus primarily on analytics to transform complex data sets into key statistics, dashboards, trends that will drive actionable insights for senior management.

As a n Analytics Manager , we rely on you to:

• Analyzes large datasets and identify trends to answer business questions
• Supports the creation of dashboards and reports for business review and decision
• Designs, implements and manages statistical modeling to optimize business
• Acts as an analytics expert to support business users
• Works in collaboration with IT to maintain data management and data integrity
• Performs ad hoc analysis as required
  

We are looking for someone who:

• Degree holder preferably in Statistics / Mathematics / Management Science or other quantitative discipline.
• At least 5 years of hand-on experience in data mining, analysis, and modeling, of large scale, complex data sets , with previous experience in hospitality industry prefer
• Demonstrated experience in working with R, Python, Tableau, SQL, SAS.
• Able to understand business needs and translate into technical requirements
• Work independent and detail oriented
• Strong communication, analytical, and project management skills