Monetization Strategist (Analytics)

TikTok

San Jose, California, United States of America Posted October 26, 2026

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On-site Full-time Mid level
Job Description

We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.

Responsibilities:

  • Responsible for business analysis of TikTok monetization products. Evaluate business health, identify potential risks and major business opportunities from a global perspective, using statistical analysis, quantitative attribution and other methods.
  • Design comprehensive metrics framework for TikTok's commercial products and key business directions. Conduct in-depth analysis of key metrics, trends, and performance indicators to drive data-informed decision making and support strategic business development plans.
  • Participate in business goal setting, key direction decision-making and improve internal management efficiency by integrating various data and information based on comprehensive business logic across products, multiple platforms and multiple business forms.
  • From the perspective of TikTok's monetization product global optimization and ROI efficiency, plan and establish key research topics. Collaborate with PM, engineering, sales, strategy team and other roles to deliver research results with clear conclusions and implementation plans, provide decision-making references for leaders and achieve data-driven business growth.

Minimum Qualifications:

  • Work experience in a high growth tech company or strategy consulting firms. Advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
  • Fluency in SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative attribution methods.

Preferred Qualifications:

  • Strong analytical skills, excellent communication and cross-functional collaboration skills, and proactiveness in problem-solving.
  • Fast learner, highly entrepreneurial with a good sense of judgment and original thinking.
  • Experience in digital advertising with a great understanding of advertising products.
Required Skills
data science decision making business development collaboration statistics SQL Python analytical skills communication cross-functional collaboration problem solving
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