Senior Data Analyst - TikTok LIVE - London - #1764455

• Analyze local and global content and user trends to identify growth opportunities within the EU LIVE ecosystem.


• Create, automate, and maintain reports and dashboards to track performance, OKRs, and key strategic initiatives.


• Develop data models and perform in-depth analyses to support content strategy, creator segmentation, and user engagement.


• Translate complex data into actionable insights for regional teams and leadership.


• Collaborate closely with cross-functional teams (e.g., Creator Management, Product, Strategy) to inform decision-making.


• Present findings clearly to both technical and non-technical stakeholders to influence business strategy.

Examples of Problems You’ll Be Solving

• What are the best content verticals for us to focus our creator recruitment on?


• How can we build a predictive model to identify high-potential creators early?


• What are the right leading and lagging indicators to measure success against our key OKRs?


• How can we segment creators and users to better personalize support and growth strategies?


• When and how should we educate creators to maximize their long-term retention and performance?


• How can we simplify complex data sets using statistical tools to better diagnose issues and recommend scalable solutions?

Minimum Qualifications

• 5+ years of experience in data analysis, preferably in a high-growth or tech environment.


• Strong mathematical and analytical skills, with the ability to interpret large datasets and generate actionable insights.


• Proficiency in SQL and at least one programming language (Python preferred).


• Solid understanding of statistics and data modeling techniques.


• Experience using data visualization tools such as Tableau, Power BI, or Looker.


• High attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience working in a consumer technology, content, or creator economy business.


• Background in building predictive models or recommendation systems.


• Familiarity with A/B testing and experimental design.


• Strong communication skills, with the ability to simplify complex topics for non-technical audiences.


• Knowledge of the livestreaming industry or digital content ecosystems is a plus.