TikTok Shop - Data Analyst - Logistics

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our 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 to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports;
3. Cooperate with logistics teams to set strategy, . Lead time improvement, cost reduction, logistics experience rating, etc; communicate findings to influence others to take actions;
4. Follow-up data analysis of operation teams in several markets, support operation and provide optimization suggestions;
5. Cooperate with Product and Engineering teams to define system requirements, build data products, improve and roll-out product features to support business.

Minimum Qualifications 1. Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, or Computer Science is preferred
2. At least 3 years of working experience in data analysis
3. Proficient in SQL and familiar with Python or R
4. High energy, self-motivation and ability to work in a fast-growing environment Preferred Qualifications

1. Previous Supply Chain, Logistics, or Consulting experience in an analytical role preferred 2. Advanced Degree (MS, in Mathematics, Statistics, Analytics, etc 3. E-commerce or online marketplace experience 4. Be able to work with cross-functional teams in a fast-paced environment