About this role
The MENAT LIVE Eco Growth & Governance Team leads various cross-functional projects. Our key initiatives include developing strategic plans to drive widespread adoption of LIVE at scale among creators, localizing new product features, creating user engagement strategies, ensuring a positive creator experience through education on the Community Guidelines and best practices, and providing ad hoc analysis and support to cross-functional partners.
We're looking for a Data Analyst to join our dynamic LIVE team. In this role, you’ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.
- Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;
- Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;
- Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;
- Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;
- Work with engineers and product stakeholders to provide product insights and strategies.
We're looking for a Data Analyst to join our dynamic LIVE team. In this role, you’ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.
- Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;
- Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;
- Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;
- Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;
- Work with engineers and product stakeholders to provide product insights and strategies.