TikTok Shop - Data Analyst - Logistics

TikTok; London; On-site; GBP 40,000 - 65,000; Full time

Job summary

TikTok is seeking a Data Analyst specializing in Logistics to empower business growth through data insights. This role focuses on analyzing global logistics operations and improving performance through collaboration with various teams. Ideal candidates have significant experience in data analysis and technical proficiency in SQL and Python or R.

Qualifications

• At least 3 years of experience in data analysis.
• High energy, self-motivated, and adaptable to fast-growing environments.

Responsibilities

• Analyze TikTok e-commerce's global logistics operations.
• Improve operation performance index and provide ongoing reports.
• Collaborate with teams to enhance business features.

Skills

Data Analysis

Proficient in SQL

Familiar with Python

Education

Degree in Logistics and Supply Chain Management

Degree in Operations Research

Degree in Mathematics

Degree in Statistics

Degree in Computer Science

Job description

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TikTok Shop - Data Analyst - Logistics, London

Client:

TikTok

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

022f01bb0800

Job Views:

22

Posted:

24.06.2025

Expiry Date:

08.08.2025

Job Description:

The e-commerce industry has seen tremendous growth in recent years and has become a competitive space among leading Internet companies. With millions of loyal users globally, TikTok aims to deliver a new and improved e-commerce experience, bringing discovery, inspiration, and joy to shopping. We are looking for passionate and talented individuals to join our product and operations team to build an innovative, secure, and intuitive e-commerce ecosystem for users and brands. As part of the Global logistics team, the Logistics Data Science team aims to empower and drive business growth through impactful data insights and data products.

Responsibilities:

1. Responsible for data analysis of TikTok e-commerce's global logistics operations;
2. Maintain & improve operation performance index; assist top management in monitoring weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports;
3. Cooperate with logistics teams to set strategies, lead time improvement, cost reduction, logistics experience rating, etc.; communicate findings to influence actions;
4. Follow-up data analysis of operation teams in multiple markets, support operations, and provide optimization suggestions;
5. Collaborate with Product and Engineering teams to define system requirements, build data products, and improve and roll out product features to support business.

Minimum Qualifications:

• Degree in Logistics and Supply Chain Management, Operations Research, Mathematics, Statistics, or Computer Science preferred;
• At least 3 years of experience in data analysis;
• Proficient in SQL and familiar with Python or R;
• High energy, self-motivated, and capable of working in a fast-growing environment.

Preferred Qualifications:

• Previous experience in Supply Chain, Logistics, or Consulting in an analytical role;
• Advanced degree (MS) in Mathematics, Statistics, Analytics, etc.;
• E-commerce or online marketplace experience;
• Ability to work with cross-functional teams in a fast-paced environment.