Senior Data Analyst, Singapore

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.

In this Role, you’ll get to

• Extract, process, and analyze large datasets from our data warehouse using SQL and Python.

• Perform deep-dive analyses to uncover trends, identify opportunities, and diagnose business problems.

• Partner closely with local Singapore teams (Supply, Operations, Marketing) and global HQ teams to understand business needs and provide data-backed recommendations.

• Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders.

• Conduct ad-hoc analysis to support strategic initiatives.

• BI Product Contribution: Collaborate with the central teams to improve analytical models and products, ensure data quality, and advocate for the analytical needs of the Singapore business.

What you'll Need to Succeed

• Bachelor's degree or above in a relevant field such as Mathematics, Statistics, Computer Science, Economics, Business, Analytics, or a related quantitative field.

• 2-5 years of proven experience as a BI Analyst, Data Analyst, or similar role.

• Solid experience in commercial/business analysis, preferably within the consulting firm or E-commerce industries. A strong understanding of business drivers and metrics is essential.

• Advanced proficiency in SQL for complex data querying and manipulation.

• Understanding of statistical concepts and strong capability in mathematics.

• Strong hands-on experience with Python and advanced analytics (e.g., regression, decision tree, clustering, time series & forecasting, etc.) will be a plus.

• Passionate about data science and the power of data to solve real-world business problems.

• Genuine interest in and curiosity about the travel and hotel industry.

• Excellent logical, structured, and analytical thinking skills.

• Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment.

• Strong communication and stakeholder management skills.

Why Trip.com Group

We offer a stage to unleash your full potential and drive global impact. As an international team, we embrace an open and inclusive culture that supports and respect team members in and out of the workplace. Everyone is on a trip, whether it's a career trip or a life trip. At Trip.com Group, you can define your own trip by setting a goal and celebrate your success by recognizing the progress you have made.

What’s more?

• Our rapid business growth in global offers abundant career opportunities at various levels and in multiple functions
• Internal transfer is encouraged, and global job rotation program enable you to pursue a global career path and make global impact
• We provide learning opportunities to further your career in areas of leadership capability, soft skill and professional expertise.
• We encourage flexible work arrangement
• Have fun with company-sponsored greetings and activities at holidays, birthdays, and colorful team events.

Click the link to learn more about What makes Trip.com Group a leading global travel service provider?

Click the link to learn more about This is a Trip Where Both Your Career and Life Can Flourish!

Find out more job opportunities at https://careers.trip.com

Have a good trip, and see you soon!