Data Analysis Manager

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Data Science team of e-commerce is aiming to provide valuable business insights to the partner teams, including operations, product manager, etc. The business is still expanding globally, and we do wants to get the talented DS/DA/DPMs to join us to make impact together! Now we are looking for talented data analysis managers to join us, and the main duties include:

1.Responsible for data analysis for TikTok e-commerce's global business products independently, including merchant product, creator product, etc.; and data analysis of e-commerce overseas operation strategy including Merchant Strategy, Creator Strategy, etc.;
2.Measure performance of each e-commerce product in overseas countries, and provide product optimization suggestions;
3.Design the event tracking system for each module of global e-commerce products, verify the accuracy of event tracking system after release, and maintain the event tracking system and specifications in subsequent versions;
4. Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports.
5. Design the monitoring systems independently to reflect any changes of business in time.
6.Design A/B test, and give the optimal product design scheme according to the data performance after launch;
7. Follow up the data analysis of local operation teams in several overseas markets, support the operation effect and give the follow-up optimization suggestions;
8. Cooperate with PM / Ops team / R&D to promote the implementation of optimization scheme, and to bring about the actual improvement and growth of business;
9. Cooperate with R&D and Data PM to build data systems and user-friendly data products to support business.