Data Analyst for User Growth

3 weeks ago


San Jose, California, United States Tik Tok Full time
About the Company
TikTok is a leading short-form mobile video platform, inspiring creativity and bringing joy to users worldwide. Our global offices span Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

Why Choose Us
We believe in creation as the core of our purpose. Our platform is designed to help imaginations thrive, making this true for the teams that make TikTok possible. Together, we inspire creativity and bring joy – a mission we all believe in and strive towards every day. We view every challenge as an opportunity to learn, innovate, and grow as one team, with courage always guiding us.

User Growth Team Overview
The User Growth team leads growth initiatives for TikTok and its platforms with a data-driven and results-focused engineering and product mindset. We seek talented individuals who enjoy the intersection of product, data, design, and engineering to help us reach the next milestone of billions of users.

Job Responsibilities
You'll have the opportunity to build best-in-class onboarding experiences for our users, define A/B testing frameworks to measure and improve user retention rate, and collaborate with business stakeholders and technical leads. As a Senior Data Scientist, you will:
  • Help define and execute projects geared towards user acquisition, engagement, and retention growth
  • Build out reporting to track product performance using data visualization tools.
  • Bring strong desire to learn in a fast-paced environment while collaborating with business stakeholders and technical leads
  • Exercise a high level of empathy to help the business identify and prioritize data needs and define proper metrics to measure initiative success
  • Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they're performing at their goals

Requirements and Qualifications
To succeed in this role, you'll need solid analytical skills, proficiency in statistical analytical tools like SQL and Python, familiarity with social/content online platform analytics, especially metrics design, product feature analytics, A/B testing, and causal inference methodologies. You should be able to think critically, objectively, rationally, reason, and communicate in a result-oriented, data-driven manner with high autonomy. Preferred qualifications include Bachelor's degrees or above in computer science, statistics, math, internet security, or other relevant majors, and 3 years of work experience in data analytics/science or other relevant fields.

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