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Strategy & Insights Data Analyst (TikTok Shop Governance & Experience) - 2026 Start (BS/MS)

TikTok

Strategy & Insights Data Analyst (TikTok Shop Governance & Experience) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Team events and activities

401(k) matching

Equity

Healthcare

Required Skills

Node.js

React

TypeScript

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Tik Tok

Strategy & Insights Data Analyst (Tik Tok Shop Governance & Experience) - 2026 Start (BS/MS)

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

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:

About our team
Tik Tok Shop's Governance and Experience (GNE) team is a global, mission-driven group dedicated to building a safe, fair, and seamless marketplace for users, sellers, and creators. Behind every transaction, we shape trust policies, engineer intelligent systems, and design secure, intuitive user journeys that protect the integrity of the platform and enhance the e-commerce experience for millions every day.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

What makes our graduate track unique?
Our graduate track is designed to develop cross-functional talent with deep expertise in governance and experience, while also cultivating broad, cross-domain understanding.

Within your first year, you'll rotate into carefully selected cross-functional teams, broadening your perspective, sharpening your problem-solving skills, and developing leadership skills to drive meaningful impact across the business. Each rotation's duration and pathway are thoughtfully designed to help you connect the dots across business areas, grow strategically, and build the versatility needed to thrive in a fast-evolving environment.

You'll get to:

  • Go deep and go broad
  • Develop cross-functional agility and understanding to adapt to evolving markets and accelerate your growth.
  • Solve real problems with global impact
  • Contribute to projects that shape the experience for millions of users and sellers around the world.
  • Build what doesn't exist yet - shape new systems, processes, and policies in a fast-scaling business.

What's this role about?
As a Data Analyst in the Strategy, Insights, and Data Science team, you'll go beyond building dashboards - you'll help shape how our global Governance and Experience (GNE) teams understand the business, set priorities, and take action. This role offers rare exposure to real business strategy and cross-functional problem solving. You'll work closely with senior stakeholders, apply data to guide decisions, and contribute to high-impact projects across governance, risk, and user experience. If you're looking to grow as a data-driven business thinker while sharpening your technical skills through real-world problems and learning from experienced analysts, this is the role for you.

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By signing up, you agree to our Examples of what you'll work on:

  1. Build and maintain performance frameworks and self-service tools to help global teams track impact and make informed decisions.
  2. Analyze internal operations and external signals (e.g. user feedback, market trends) to generate actionable insights and uncover strategic opportunities.
  3. Shape organizational strategy by framing data-backed recommendations that guide cross-functional priorities and long-term planning.
  4. Drive cross-team collaboration by working with product, ops, and engineering teams to solve complex problems and deliver scalable solutions.
  5. Enable data literacy by creating documentation, leading training sessions, and supporting business teams in applying data effectively.
  6. Support core infrastructure such as metrics governance, performance dashboards, and strategic budget tracking to ensure sustainable decision-making.

We are seeking ambitious individuals who are passionate about solving complex problems and delivering meaningful impacts on millions of users.

Qualifications:

Minimum Qualifications:

  1. Final year student (graduate in 2026) or recent graduates with less than 1 year of working experience, majoring in Business Analytics, Computer Science, Statistics, Mathematics, Economics or related fields with strong academic performance.
  2. Skilled in SQL and Python, familiar with common data statistics and analysis methods.

Strong Analytical Skills:

  • Comfortable working with data to uncover insights and drive decisions.
    1. User-First Thinking
  • Understand and anticipate users' needs to build better experiences.

Drive and Adaptability:

  • Thrive in fast-paced environments and navigate change with agility.

Curiosity and Creativity:

  • A knack for turning ideas into actionable strategies and a desire to explore innovative approaches.

Preferred Qualification
1.

Experience in Ecommerce:

By submitting an application for this role, you accept and agree to our global applicant If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Client-provided location(s): Singapore Job ID: Tik Tok-7533577581280626951Employment Type: OTHERPosted: 2025-08-05T00:35:50Apply 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

Hear directly from employees about what it is like to work at Tik Tok.
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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