Data Analyst - TikTok LIVE - Beijing & Dubai

Dubai
Permanent
Full-time

2 months ago

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.1. Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;
2. Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;
3. Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;
4. Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;
5. Work with engineers and product stakeholders to provide product insights and strategies.Qualifications:Minimum Qualification(s)
1. A bachelor's degree in data science, statistics, econometrics, quantitative sociology, or a related scientific major, with more than 3 years of relevant work experience;
2. Professional knowledge in SQL and Python or R programming;
3. Strong analytical and causal reasoning skills, as well as a strict demand for statistical accuracy;
4. Strong communication and teamwork skills;
5. Passion for social media products and a deep curiosity for in-depth research;

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