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TikTok

Data Analyst Project Intern (Measurement, CALM) - 2026 Start

Aug 25, 2026• Singapore

About us

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

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

Team Introduction
The team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimize their activity on the platform and build meaningful connections that help drive behavior change.

Our team sits at the intersection of Measurement, Sales, Product, Analytics, and Marketing. We partner with market and regional teams to analyze advertising outcomes, identify opportunities across clients and industries, validate new measurement approaches, and translate complex findings into clear and actionable recommendations.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities
- Extract, clean and analyze data from multiple sources
- Able to write and optimize SQL queries for data retrieval/extraction
- Working knowledge of Python for data analysis, automation etc.
- Identify trends, patterns, and actionable insights from large datasets
- Support forecasting, segmentation and performance analysis projects
- Assist in validating data quality and improving reporting accuracy

Qualifications

Minimum Qualifications
- Currently pursuing a Bachelor's or above in Business, Data Analytics, Statistics, Economics or related field
- Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, complex formulas)
- Project experience/working knowledge of Python/R and good knowledge of SQL
- Strong PowerPoint skills with the ability to create professional, visually appealing presentations and advanced charts
- Solid understanding of statistical concepts and data analysis methodologies. Excellent written and verbal communication skills in English
- Strong attention to detail and commitment to delivering high-quality work and ability to manage multiple tasks and meet deadlines in a fast-paced environment and demonstrated accountability and ownership of assigned projects. Quantitative mindset with strong problem-solving abilities
- Minimum 3-month commitment, full-time (5 days per week).

Preferred Qualifications
- Background or coursework in data analytics, business intelligence or quantitative methods
- Familiarity with data visualization tools (Tableau, Power BI) is a plus
- Previous internship experience in analytics, consulting, or tech industry
- Understanding of digital marketing metrics and social media analytics

Responsibilities

Responsibilities

Team Introduction
The team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimize their activity on the platform and build meaningful connections that help drive behavior change.

Our team sits at the intersection of Measurement, Sales, Product, Analytics, and Marketing. We partner with market and regional teams to analyze advertising outcomes, identify opportunities across clients and industries, validate new measurement approaches, and translate complex findings into clear and actionable recommendations.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities
- Extract, clean and analyze data from multiple sources
- Able to write and optimize SQL queries for data retrieval/extraction
- Working knowledge of Python for data analysis, automation etc.
- Identify trends, patterns, and actionable insights from large datasets
- Support forecasting, segmentation and performance analysis projects
- Assist in validating data quality and improving reporting accuracy

Qualifications

Qualifications

Minimum Qualifications
- Currently pursuing a Bachelor's or above in Business, Data Analytics, Statistics, Economics or related field
- Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, complex formulas)
- Project experience/working knowledge of Python/R and good knowledge of SQL
- Strong PowerPoint skills with the ability to create professional, visually appealing presentations and advanced charts
- Solid understanding of statistical concepts and data analysis methodologies. Excellent written and verbal communication skills in English
- Strong attention to detail and commitment to delivering high-quality work and ability to manage multiple tasks and meet deadlines in a fast-paced environment and demonstrated accountability and ownership of assigned projects. Quantitative mindset with strong problem-solving abilities
- Minimum 3-month commitment, full-time (5 days per week).

Preferred Qualifications
- Background or coursework in data analytics, business intelligence or quantitative methods
- Familiarity with data visualization tools (Tableau, Power BI) is a plus
- Previous internship experience in analytics, consulting, or tech industry
- Understanding of digital marketing metrics and social media analytics

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Additional Information

  • Job category: Operations
  • Posted: Aug 25, 2026
Apply on company site
Apply on company site

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