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Analytics & Account Management Intern (Fashion) - 2026 Start (BS/MS)

TikTok

Analytics & Account Management Intern (Fashion) - 2026 Start (BS/MS)

TikTok

Jakarta, Indonesia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Competitive salary and equity package

Team events and activities

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

401(k) matching

Flexible Hours

Equity

Healthcare

Required Skills

Node.js

React

TypeScript

Responsibilities

  • The Tik Tok Shop Fashion
  • Womenswear team are responsible in shaping the overall category growth and supporting top sellers on Tik Tok Shop and Tokopedia to drive their sales in the platforms. The team partners closely with sellers through strong account management, providing daily insights, key platform updates, and discussions on growth opportunities to help them scale effectively. The analytics function plays a critical role in transforming data into actionable recommendations by analyzing performance trends and identifying strategic opportunities.

We are looking for talented individuals to join us for an internship in 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at Tik Tok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally.

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.

  • Conduct analysis and reporting related to womenswear social-commerce industries. Workstream includes, but is not limited to analysis of seller management, creator, competitive intelligence, content supply and quality improvement.
  • Assist potential sellers in onboarding, development, and resolving seller issues in Tik Tok Shop and Tokopedia.
  • Collaborate and to be mentored closely with Category Manager, Account Management Lead, and Account Managers.

Qualifications

Minimum Qualifications

  • Actively enrolled university student in 3rd-4th year university, majoring in Business/Economics/Engineering
  • Committed to work at an office 4-5 days/week
  • Highly motivated to learn about social commerce and committed throughout the internship period
  • Good communication skills and comfortable with data. Experience operating Microsoft Excel and Power Point (or similar applications).

Preferred Qualifications

  • Able to create simple graphic design with Canva or similar tools
  • Interested in working in social commerce or tech companies in the long-term.

Additional Information

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures