Job Summary:

Responsbilities:

Conduct in-resort customer studies with the focus on guest satisfaction, guest reaction to seasonal events and special events, and revenue product strategies.Develop customized studies from design and data collection to reporting, to address business questions across different departments including operations, food & beverage, merchandise, revenue management, finance, and marketing etc.Integrate results of customer surveys and other sources of information to facilitate data analysis for continuous KPI monitors and in-resort activations for company-wise usage.Support on insights generation and report preparation for leadership and different developments on regular basis.Collaborate with internal team members to ensure smooth implementation of projects.Work with internal stakeholders to facilitate information sharing and develop strategic measurement plans.

Requirements:

Bachelor’s degree in marketing, communications, applied mathematics, statistics, business or social sciences.Minimum 3 years of equivalent experience in executing end-to-end quantitative customized research or data analytics, experience on continuous tracking studies and handling technically complex projects is highly preferrable.Working experience gained from consumer insights or quantitative department of international research agencies. Experience from client side or quantitative project is a plus.Good at data mining and interpretation, manage to integrate different sources of information and translate large data sets into actionable insights, and present in a user-friendly way.Good interpersonal and communication skills and able to collaborate with different audiences and articulate technical findings/criteria with others.Keen interest and good understanding in Travel and Entertainment industry is essential.Self-motivated, positive and agile, able to manage priorities and time effectively.Good in written and spoken English, Cantonese and Mandarin.Proficient in Microsoft Office and data manipulation (e.g. Macros). Knowledge in data visualization tools (e.g. Power BI) is advantage.

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