Data Analytics Intern: Insights That Drive Impact

TikTok Inc.; Singapore; Sur place; SGD 17 000 - 26 000; Plein temps

Résumé du poste

TikTok Singapore is seeking a Project Intern to contribute to impactful short-term data projects and gain hands-on experience in a fast-paced, professional environment. You will extract, clean and analyze data, write SQL queries, use Python for analysis and automation, and help forecast, segment and report on performance across advertising campaigns.

You'll collaborate with Measurement, Sales, Product, Analytics and Marketing teams to translate findings into actionable recommendations and ensure

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).
• Python/R and SQL knowledge; ability to write and optimize queries.
• Strong PowerPoint skills for professional presentations and charts.
• Excellent English communication and detail-oriented with deadlines.

Responsabilités

• Extract, clean and analyze data from multiple sources
• Write and optimize SQL queries for data retrieval/extraction
• Work with 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

Connaissances

Excel

PowerPoint

Python

SQL

R

Formation

Bachelor's degree or higher in Business/Data Analytics/Statistics/Economics

Outils

Tableau

Power BI

SQL

Description du poste

TikTok Singapore is seeking a Project Intern to contribute to impactful short-term data projects and gain hands-on experience in a fast-paced, professional environment. You will extract, clean and analyze data, write SQL queries, use Python for analysis and automation, and help forecast, segment and report on performance across advertising campaigns.

You'll collaborate with Measurement, Sales, Product, Analytics and Marketing teams to translate findings into actionable recommendations and ensure