Data Analyst, Demand Planning and Supply Management

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
The success of data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About The Role
The role seeks to drive clarity, solve ambiguous, challenging business problems using data-driven approaches to dig into complex data sets and derive data driven business decision making. With strong data analytics skills, propose and own data analysis (including coding, analytics, and experimentation) to drive business insight and facilitate decisions.
You will get expsoure to how the business uses data in our day-to-day decision making that runs and drives the smooth operations of labelling.

Responsibilities
1. Identify trends, patterns, and correlations in data to support business decision-making;
2. Solve ambiguous, challenging business problems using data-driven approaches to provide clarity and direction. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decision making process;
3. Develop and present metrics, comprehensive reports and dashboards that provide meaningful insights to stakeholders;
4. Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into data analytics solutions;
5. Develop end to end request management framework and process for ongoing request collection exercise;
6. Present findings and insights to senior management and key stakeholders, effectively communicating complex information in a clear and concise manner;
7. Perform statistical analysis, hypothesis testing and use machine learning techniques to build predictive models;
8. Communicate findings and insights to stakeholders using visualisation tools and presentations.