Data Analysis Manager

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Company Overview

A leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. With global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo, we are a dynamic and rapidly expanding company. We foster a culture of humility, intelligence, compassion, and creativity, where our people are encouraged to take calculated risks and embrace ambiguity. We aim to empower our over 1 billion users by providing limitless opportunities to those who dare to pursue bold ideas.

Job Description

Data Analysis Manager

Responsibilities

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 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.

Qualifications

1. Bachelor degree or above, major in mathematics, statistics, computers is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
2. Proficient in SQL and tableau and familiar with Python or R for data analysis.
3. At least 5 years of working Experience in data analysis, and have a good business sense in ecommerce product analysis is preferred;
4. Overseas working experience or analytical experience is preferred;
5. Able to complete English reports and communicate with global staff independently;
6. Have a strong learning ability and curiosity; ability to quickly pick up domain knowledge in new areas; Can lead a small project team to support business;
7. Have a strong ability to work under pressure, have the courage to overcome difficulties and accept challenges.

Disclaimer

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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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4. No Liability: SpringCube is not liable for inaccuracies.