岗位描述
招聘对象:本、硕、博。
毕业时间:2026 年 9 月至 2027 年 8 月期间毕业(中国大陆以毕业证为准,非中国大陆地区以教育部学位认证为准)且最高学历毕业后无全职工作经验的学生。
Responsibilities:
Work collaboratively with headquarters and regional marketing teams to define and monitor KPIs and metrics associated with business processes to support the achievement of sales objectives.
Work collaboratively with the R&D team to understand how data is collected, manipulated, and leveraged for marketing and analytics, and help establish processes to streamline the execution of business efforts — reporting, monitoring, and optimization.
Develop a deep understanding of the global and local market landscape by aggregating Trip.com's internal data with data from external sources to uncover actionable insights and recommendations that address marketing challenges.
Conduct performance and user segmentation analysis to identify market demands and growth opportunities; partner with business teams to implement growth initiatives.
Gather and consolidate business data requirements, delivering unified data solutions.
Qualifications:
Bachelor's degree or above is required, with at least 1 year of overseas experience. A background in statistics, mathematics, economics, or related fields is preferred.
Strong data processing skills, with a solid understanding of how data is structured. Proficiency in SQL and at least one visualization tool such as Tableau or Power BI.
Strong business acumen, with the ability to thoroughly understand and analyze the needs of different market demographics.
Strong synthesis and inductive reasoning skills, with the ability to handle complex analyses end-to-end: producing comprehensive analysis reports, presenting findings independently, and delivering clear, actionable recommendations.
Strong cross-team communication skills and English proficiency, with the ability to work effectively in an English-speaking environment.
Strong execution skills with solid planning and organizational abilities; self-motivated.
Experience with AI/LLM tools (e.g., ChatGPT, Claude Code, Codex) for data analysis or business insights generation is a plus; familiarity with prompt engineering or AI-assisted workflows is preferred.