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Trip.com Group

高级数据分析师(海外业务-base新加坡)

Listed on Trip.com Group’s official careers site. Posted September 20, 2026. Check that it is still open and apply there.

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Job description

Key Responsibilities

Data Analysis: 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.

Business Insight Generation

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.

Qualifications & Requirements

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

Experience

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

Must have: 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.

Technical Skills (Must-have)

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.

Language Skills (Critical)

Business-fluent proficiency in English & Chinese is required for seamless communication with local teams and analysis of local market nuances. Professional working proficiency in English & Chinese is required for communication with the global HQ team and documentation.

Personal Attributes

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.

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