Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That’s how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
Data Cycling Center (DCC) is a data acquisition team that manages the labelling supply chain to empower AI solutions. In layman terms, we provide labelled data (Video, Images etc) to Data Science teams to train and evaluate their machine learning models.
One of our initiatives is to implement crowdsourced labelling. Have you ever done a capcha “click on all the photos of cars” to login? That in essence is labelling. We believe everyday people are capable of labelling and want to collaborate with them to build the machine models of tomorrow.
About the Role
As the Growth & Performance Data Analyst, you will be instrumental in spearheading our human capital expansion while simultaneously enhancing the efficiency and quality of our labeling processes. This dual-focus role requires a blend of strategic planning, market insight, and operational optimization to foster sustainable growth and superior performance.

1. User Growth: Strategize and execute plans to balance labeler supply with project needs;
2. Pricing Strategy: Utilize data models to craft competitive pricing strategies across various demographics;
3. Enhancing Productivity: Innovate on incentive and gamification mechanisms to elevate labeler engagement and throughput;
4. Data Engineering : Maintain datapipelines and add new features like payment and incentive upgrades;
5. Data Visualization : Create dashboards to track progress and update reports.
   Qualifications
6. Bachelor’s degree in Business, Marketing, Data Analytics, Data Engineering, Computer Science, Economics, Statistics, or a related field; advanced degrees preferred;
7. 3-5 years of experience in data engineering, data analysis, user growth strategy, rewards program design, labelling, or operational optimization, with a demonstrated track record of success;
8. Proficient in data analysis, statistical tools (Excel, R, Python, SQL, Tableau) and familiar with basic data engineering (ETL, Data architecture etc);
9. Strong analytical skills and experience with A/B testing, user segmentation, and predictive modeling;
10. Excellent communication and collaboration abilities, with a knack for problem-solving and innovative thinking.
    TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
    

    LI-SP