Data Analyst Graduate (TikTok Shop Supply Chain and Logistics) - 2026 Start (MBA)
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About this role
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
About the Team
The E-commerce Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are searching for a Data Analyst who will be responsible for data analysis of TikTok Shop's global logistics operations.
Responsibilities
- Responsible for data analysis of TikTok e-commerce's global logistics operations;
- Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports;
- Cooperate with logistics team to set strategy, e.g. Leadtime improvement, cost reduction, logistics experience rating, etc; communicate findings to influence others to take actions;
- Follow-up data analysis of operation teams in several overseas markets, support operation and provide optimization suggestions;
- Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business.
Minimum Qualifications
- Recently or currently enrolled in a BS/MS program with a graduation date between December 2025-December of 2026.
- Ability to clearly communicate insights to both technical and non-technical audiences.
- Strong communication skills for presenting analysis results.
- Experience with data tools such as Tableau (for dashboards/visualization), Alteryx or Tableau Prep (for data preparation/ETL), and Jupyter Notebooks (for exploratory analysis and prototyping).
- Familiarity with SQL-based environments and big data platforms (e.g., Hive, Spark).
- Product Analytics, Statistics, and Experimentation expertise.
Preferred Qualifications
- E-commerce or online marketplace trust & safety experience is strongly preferred.
- Previous experience with logistics or supply chain companies.
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person.
- Be able to work with cross-functional teams in a fast-paced environment.