Data Analyst - TikTok LIVE

Responsibilities

The Regional LIVE Operation Strategy 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 Senior 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.

- 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?

Qualifications

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 live streaming industry or digital content ecosystems is a plus.