Senior Data Analyst - TikTok LIVE - London
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.
Responsibilities
- 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.
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- 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 livestreaming industry or digital content ecosystems is a plus.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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