Shop Analytics Project Intern β€” Growth & Insights (London)

Shop Analytics Project Intern β€” Growth & Insights (London)

Full-Time 22500 - 27500 Β£ / year (est.) No working from home possible
TikTok

At a Glance

  • Tasks: Contribute to strategic research and data processing for TikTok's global e-commerce.
  • Company: Join TikTok, a leading tech company shaping the future of social media and e-commerce.
  • Benefits: Gain hands-on experience in a fast-paced environment with opportunities for growth.
  • Other info: Exciting opportunity to work with senior stakeholders and enhance your career.
  • Why this job: Make an impact on merchant growth while collaborating with talented teams.
  • Qualifications: Analytical mindset and passion for e-commerce; no prior experience required.

The predicted salary is between 22500 - 27500 Β£ per year.

Tik Tok is seeking a Business Analytics Project Intern (Tik Tok Shop) in London for a 2026 start.

You will contribute to strategic research, business analytics, data processing and cross-functional project execution for Tik Tok's global e-commerce business.

The role offers hands-on experience in a fast-paced tech environment, collaborating with cross-functional teams and senior stakeholders to drive merchant growth and operational efficiency.

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Shop Analytics Project Intern β€” Growth & Insights (London) employer: TikTok

At TikTok, we pride ourselves on being an exceptional employer in Greater London, offering a vibrant and inclusive work culture that celebrates diversity and creativity. Our employees benefit from extensive growth opportunities, including workshops and mentorship programmes, designed to enhance their skills and career progression. Join us to be part of a dynamic team that values unique perspectives and fosters meaningful relationships within the livestream ecosystem.

TikTok

Contact Details:

TikTok Recruitment Team

We think you need these skills to ace Shop Analytics Project Intern β€” Growth & Insights (London)

Communication Skills
Python
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Engineering