Business Analyst Intern

Job Description

Business Analyst Project Intern | TikTok

The Tone
This is an internship at TikTok, located in Los Angeles, United States. TikTok is a leading platform for short-form mobile video, dedicated to inspiring creativity and bringing joy to its global community. This role supports the Small and Medium Business (SMB) team, which empowers businesses to grow and connect with audiences on the platform. As an intern, you will contribute to impactful projects, gaining practical skills and insights that shape the future of commerce on TikTok by driving data-informed decisions for advertisers.

The TL;DR
• Role: Internship
• Location: In-person, Los Angeles, United States
• Pay: $30 hourly
• Team: SMB team, working with senior analysts and business leaders
• Mission: Support the development of scalable analytics frameworks and insights to drive decision-making for SMB advertisers and shape future commerce on TikTok.
• Tech Stack: Excel/Google Sheets, SQL, Tableau, Power BI, Looker, Data Studio, Python, R

What You’ll Actually Do
• Analytics Frameworks: Support the definition and implementation of analytics frameworks to measure business health and advertiser performance within the SMB sector.
• Performance Monitoring: Help build and maintain simple dashboards that track key performance indicators (KPIs) relevant to the SMB sector.
• Cross-Functional Analysis: Collaborate with Product, Sales, Marketing, and Business Operations teams on detailed analyses under the guidance of senior mentors.
• Strategic Projects: Contribute data analysis to important initiatives such as partnership penetration studies, sales efficiency evaluations, and seasonality research.
• Infrastructure Partnership: Partner with the Global Business Analytics team to identify improvements in tooling, workflows, and data infrastructure.

The Must-Haves
• Background: Currently pursuing an Undergraduate or Master’s degree in Data Science, Statistics, Economics, Applied Math, Computer Science, or a related discipline.
• Experience: Demonstrated strong problem-solving skills and analytical thinking capabilities.
• Skills: Proficiency with Excel/Google Sheets, basic data visualization techniques, basic knowledge of SQL, and strong verbal and written communication skills.
• Bonus: Prior internship or project experience in analytics, business intelligence, or data science; familiarity with dashboard tools (Tableau, Power BI, Looker, Data Studio); coursework or academic projects related to advertising, SaaS, or e-commerce analytics; exposure to experimentation or A/B testing concepts; experience presenting data-driven insights; familiarity with Python or R.