TikTok Shop - Logistics Operations Project Intern (Spanish Speaker), 2027 Start

Responsibilities

About the team
We are looking for talented individuals to join Tiktok Spain & Italy Operations team as a project intern. Project intern opportunities at TikTok aim to offer industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

We are looking for talented individuals to join us for an internship.
Our Internship program offers students hands- on experience, industry exposure and opportunities to apply their knowledge to real -world challenges while building a strong foundation for personal and professional growth.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Key Responsibilities:
- Analyze carrier operations performance (collection and delivery performance ) and other logistics metrics highlighting key gaps versus targets
- Support with carrier WBR deep dives and to help on solving operational issues between couriers and merchants
- Prepare ah-doc reports on metrics, etc.,
- Propose new initiatives using AI tools to optimize logistics day to day operations

Qualifications

Minimum Qualifications:
- Currently pursuing a Undergraduate degree in supply chain, logistics, business operations, or a related discipline. Available to attend the internship for a minimum of 16 weeks on a full-time or part-time basis;
- Able to start the internship in November 2026
- Data analysis and explaining ideas clearly;
- Interpersonal and communication skills;
- Fluent in Spanish and English in order to communicate with internal and external stakeholders in Spain

Preferred Qualifications:
- Preferred majors Data Engineering and Artificial Intelligence, Computer Science, Analytics, Mathematics, or a related field;
- Passion to learn about logistics operations.