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Category User Growth Project Intern ( Shop - US Operation BS​/MS

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: TikTok
Apprenticeship/Internship position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Ecommerce, Data Analyst, Business Systems & Technology Analysis
  • Business
    Ecommerce, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 23 - 25 USD Hourly USD 23.00 25.00 HOUR
Job Description & How to Apply Below

Category User Growth Project Intern (Tik Tok Shop - US Operation) - 2026 Start (BS/MS)

Location:

Employment Type:

Intern

Job Code:

A210839A

Responsibilities

About the Team The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making Tik Tok the commerce channel of choice for merchants, creators, and affiliates.

You've seen the virality and impact of #Tik Tok Made Me Buy It . Come join the team that is helping scale that phenomenon, and pioneer Content & Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making Tik Tok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping.

The Tik Tok Shop US operation team aims to deliver high quality products together with a unique customer experience via Tik Tok. The team is responsible for building the Tik Tok Ecommerce partnership for the Tik Tok e-commerce business in the US. With more than 1 billion loyal users globally, we believe Tik Tok is an ideal platform to deliver a brand new and better e-commerce experience to our users.

We are looking for passionate and talented people to join us to build an e-commerce ecosystem that is innovative, secure and intuitive for our users together.

We are looking for a highly analytical, business-oriented, and self-motivated intern to join the User Growth Strategy team supporting the TIKTOP SHOP EBHV (Electronics, Books, Home & Living & Verticals)  this role, you will work closely with Business Strategy, Category, Product, Marketing, and Data Science teams to identify user growth opportunities, support strategic decision-making, and build scalable analytics capabilities. This is an excellent opportunity for someone interested in e-commerce, marketplace strategy, growth analytics, and data-driven business planning.

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.

  • Support user growth strategy by conducting data-driven analyses and identifying actionable business opportunities.
  • Analyze user lifecycle, acquisition, retention, and purchasing behaviors to identify key growth drivers.
  • Conduct industry and category analyses to evaluate growth opportunities across users, products, merchants, channels, and categories.
  • Identify high-potential acquisition products, merchants, and supply characteristics to support category growth initiatives.
  • Build analytical frameworks to answer business questions and translate findings into strategic recommendations.
  • Write SQL queries to extract, clean, and analyze large-scale datasets.
  • Prepare business review materials, strategy presentations, and executive-ready insights.
  • Collaborate with cross-functional teams including Business Strategy, Category, Product, Marketing, and Data Science on high-impact growth initiatives.
  • Support ad hoc analyses and strategic projects as business needs arise.
Qualifications

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Business, Economics, Statistics, Computer Science, Data Science, Industrial Engineering, or a related quantitative field.
  • Strong analytical thinking and structured problem-solving skills.
  • Proficiency in SQL for data extraction and analysis.
  • Experience using Python (Pandas, Num Py, etc.) for data analysis.
  • Ability…
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