FAQs
What is the expected start date for the Merchandise Strategy MBA Intern position?
The expected start date for the Merchandise Strategy MBA Intern position is in 2025.
What qualifications are required for this internship?
Candidates must be MBA or Master's students expected to graduate after November 2025, with a preferred background in mathematics, statistics, supply chain, computer science, or related majors.
Is prior internship experience preferred for this role?
Yes, relevant internship experience in data analysis, category management, creator operations in internet e-commerce, and business analysis in consulting is preferred.
What skills are important for this position?
Critical skills for this position include exceptional data processing and analysis abilities, proficiency in Excel and other office software, strong written communication skills, and self-motivation.
What are the key responsibilities of the Merchandise Strategy MBA Intern?
Key responsibilities include reviewing product submissions for admission and removal, monitoring product pool performance, and improving product information quality.
How does TikTok promote diversity and inclusion within its workforce?
TikTok is committed to creating an inclusive environment where employees are valued for their unique skills and experiences, celebrating diverse voices, and fostering a workplace that reflects the communities it serves.
What is the hourly rate for this internship position?
The hourly rate for this position is $38.
Will there be benefits provided to interns?
Yes, interns have access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, and additional paid time off.
Are applications for this internship reviewed on a rolling basis?
Yes, applications are reviewed on a rolling basis, and candidates are encouraged to apply as early as possible.
Is there any specific location requirement for this internship?
The internship is based in the US Operations Center, and specific requirements may vary based on location.