User Growth Data Analyst, TikTok

TikTok
Singapore
Full time
4 days ago
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.
About the team
The user growth team is a multiple functional and regional team and we take responsibility for driving user growth by including but not limited to product, marketing, and partnership approaches, not only focusing on new user acquisition but also focusing on users' retention.

1. Responsible for data analysis of international short video products, analyzing key business indicators such as user growth and retention, and providing data support and decision-making suggestions;
2. Build a growth indicator system and target management mechanism, construct and iterate the data visualization system, and provide data insights and analysis support for business growth;
3. Work closely with product, strategy, marketing, and R&D departments to promote the implementation of conclusions and bring business-wide improvements;
4. Design analysis plans such as A/B experiments and causal inference models, verify or deduce business optimization and decision-making conclusions, and provide efficient analysis methods;
5. Responsible for decomposing and diagnosing the driving factors of business growth, investigating and attributing data anomalies, and building automated anomaly attribution tools;
6. In supporting business development, be good at thinking and summarizing, and precipitate growth analysis methodology and data efficiency tools.
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