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Trip.com Group

高级数据分析师(海外业务-base新加坡)

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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.


Skills

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