Data Analyst Project Intern (TikTok Shop - User Growth) - 2025 Start (BS/MS)

TikTok

  • London
  • Training
  • Full-time
  • 8 days ago
The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop.As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.Responsibilities:
1. Support the construction and continuous optimization of data infrastructure and analytical frameworks within the user growth domain;
2. Responsible for daily statistical analysis of user-related business data, coordinating resources for tracking and in-depth analysis of abnormal situations;
3. Assist analysts in Data Insight and Qualitative and Quantitative Analysis to quickly locate internal problems or find opportunities.Qualifications:Minimum Qualifications:
1. Actively enrolled university student;
2. Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred;
3. Skilled in SQL, Python, familiar with common data statistics and analysis methods.Preferred Qualifications:
1. Modeling capability;
2. Good logical thinking ability, business interpretation ability and fast learning ability;
3. Sensitive to numbers, with a strong sense of responsibility, attention to detail, and love Data Analysis work.

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