User Growth Data Analyst

at  Tripcom Group

ABOUT US

Founded in 1999 and listed on NASDAQ in 2003 and HKEX in 2021, Trip.com Group is a leading global travel service provider comprising of Trip.com, Ctrip, Skyscanner, and Qunar.
Across its platforms, Trip.com Group integrates travel resources from industry partners and helps travellers worldwide pursue the perfect trip with exceptional travel products and services.
We have four Customer Service Centres for Trip.com established in Japan, Korea, the UK, and the Philippines, providing 24/7 customer service in 19 different languages.
We have more than 30,000 employees scattered across 30 countries in Asia, Europe, the Americas, and Oceania, striving to expand our global markets and aiming to be the world’s leading and most trusted family of online travel brands that aspire to deliver the perfect trip at the best price for every traveller.
We are seeking a User Growth Data Analyst to join our User Growth Team, a group dedicated to expanding and engaging our customer base. In this role, you will optimize customer communication channels, analyse performance, and develop strategies to improve onboarding, engagement, and retention. The ideal candidate is data-driven, analytical, and passionate about creating seamless customer experiences.

• Analyse new user acquisition, retention, LTV, and CRM performance to identify growth opportunities and improve onboarding, engagement, and retention strategies.
• Partner with cross-functional teams to drive data-informed decisions and manage multiple projects in a fast-paced environment.
• Collaborate with HQ BI teams to ensure accurate data collection and reporting, and present findings with actionable insights to stakeholders.
• Define and track KPIs for CRM projects, analysing factors that drive performance and applying statistical techniques to validate results.
• Conduct in-depth research using large datasets in BigQuery to test hypotheses, uncover trends, and provide actionable recommendations.
• Monitor and optimize CRM activities (e.g., campaigns, incentives, referral programs) and communication channels using key metrics and customer segmentation based on behaviour, demographics, and preferences.