User Growth Data Analyst, TikTok

1 month ago

Singapur, Singapore TikTok Full time

About the team

The User Growth team (UG) at TikTok plays a core role in the acquisition, activation, and retention of billions of users through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platforms, leveraging data & ML models, and providing end-to-end solutions to power the global growth of TikTok products. The creative team at UG is looking for a talented and self-directed senior professional to generate, manage, and evolve the creative initiatives for our suite of industry-leading products. 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.

1. Bachelor's degree or above, majoring in mathematics, economics, statistics, computer science, or related fields is preferred;2. At least 2 years of data analysis work experience, with experience in user growth preferred;3. Proficient in data analysis and modeling skills, familiar with data mining, machine learning, A/B experiments, causal inference, and other analysis methods;4. Proficient in using Hive, skilled in SQL, Excel, Python, R, and other data analysis tools and programming languages;5. Have a sense of responsibility and curiosity, have good communication skills and teamwork spirit, and be able to collaborate with team members from different backgrounds to complete tasks;6. Have strong data sensitivity and business sensitivity, and be able to provide decision-making support for business growth through data analysis and modeling.

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