Data Analyst - TikTok LIVE - Dubai
TikTokJobsCloseBy Editorial Insights
TikTok’s Data Analyst role for the Dubai LIVE team invites you to help grow the creator ecosystem by turning large, complex data into actionable insights. You’ll design and track an indicator framework for product health, run experiments to isolate impact, identify growth opportunities, and partner with engineers and product stakeholders to shape strategy and localization efforts for LIVE at scale. This onsite, full-time role values hands-on analytics, rigorous measurement, and clear storytelling to non-technical partners. To apply, highlight concrete projects where you built dashboards, ran A/B tests, and tied metrics to outcomes; show experience with SQL and Python or R, data visualization, and cross-functional collaboration; demonstrate impact rather than activity.
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.