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Data Support Project Intern (GBS-ID-Client Solutions) - 2026 Start (BS/MS)

TikTok

Data Support Project Intern (GBS-ID-Client Solutions) - 2026 Start (BS/MS)

TikTok

Jakarta, Indonesia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health, dental, and vision insurance

401(k) matching

Competitive salary and equity package

Generous paid time off and holidays

Flexible work arrangements

Healthcare

Equity

Flexible Hours

Required Skills

Python

TypeScript

Node.js

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile

Responsibilities

Team Introduction
The Global Business Solutions (GBS) team is responsible for the revenue growth of the Tik Tok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization.

Responsibilities:

  • Data Collection, Preparation, and Reporting: Assist in gathering, organizing, and cleaning data from various sources to ensure accuracy and reliability for analysis. Compile regular reports summarizing analytical findings and insights, presenting them in a clear and concise manner for stakeholders.
  • Ad-Hoc Analysis: Conduct ad-hoc analyses as requested by team members or stakeholders, utilizing statistical methods to derive meaningful insights from data.
  • Data Visualization: Create and maintain data visualizations and dashboards to effectively communicate findings and track key performance indicators (KPIs).
  • Cross-Market Learnings: Support the analysis of cross-market data to identify trends, best practices, and opportunities for improvement in various business areas.
  • Collaboration: Work closely with team members from various departments to understand their data needs and provide analytical support to inform decisions.
  • Documentation: Document methodologies, data sources, and findings to ensure transparency and reproducibility of analyses.

Qualifications

  • Minimum Qualifications

  • Education: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, Economics, or a related field.

  • Technical Skills: Proficiency in data analysis tools such as Excel, SQL, or Python; experience with data visualization software like Tableau or Power BI is a plus. Understanding of data interpretation techniques.

  • Analytical Skills: Strong quantitative and analytical skills with the ability to analyze complex datasets and draw actionable insights. Experience in conducting ad-hoc analyses and ability to synthesize findings into clear, concise reports.

  • Communication Skills: Good interpersonal and written communication skills to effectively present findings and collaborate with cross-functional teams.

  • Problem-Solving Ability: Proactive in identifying data needs, challenges, and proposing solutions that support business objectives.

  • Team Player: Ability to work both independently and collaboratively within a team environment, showing flexibility and willingness to assist others.

  • Preferred Qualifications

  • Available to work 5 days/week for a minimum of 4 months starting in beginning of January

  • A passion for data-driven decision-making and a desire to contribute to a dynamic team environment.

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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Client-provided location(s): Jakarta, Indonesia

Job ID: Tik Tok-7522747954311596295

Employment Type: INTERN

Posted: 2025-07-04T00:34:18
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

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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

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

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