Monetization Analytics Lead: Growth & Insights

TikTok Inc.; San Jose (CA); On-site; USD 108,000 - 209,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid parental leave

Short/long-term disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

TikTok Inc. is seeking a data scientist for the Monetization Products team to drive revenue growth through rigorous data analysis and strategic research.

You will design metrics, analyze performance indicators, and support decision making across products, teams, and business models. The role emphasizes collaboration with PMs, engineering, and strategy, leveraging advanced analytics, attribution methods, and data visualization to enable data-informed governance and optimization of monetization

Qualifications

• Experience in a high-growth tech company or strategy consulting.
• Advanced degree in a quantitative discipline or equivalent practical experience.
• Fluency in SQL/Hive and R/Python; experience with data visualization tools.
• Knowledge of quantitative attribution methods.

Responsibilities

• Analyze business health and identify risks and opportunities from a global perspective using statistical analysis.
• Design metrics framework and analyze key metrics, trends, and performance indicators to guide decisions.
• Support goal setting and decision making by integrating data across products, teams and business forms.
• Collaborate with PMs, engineers, sales, and strategy to deliver actionable research with clear conclusions.

Skills

Analytical thinking

Cross-functional collaboration

Problem solving

Education

Advanced degree in quantitative field

Tools

SQL/Hive

R/Python

Data visualization

Job description

TikTok Inc. is seeking a data scientist for the Monetization Products team to drive revenue growth through rigorous data analysis and strategic research.

You will design metrics, analyze performance indicators, and support decision making across products, teams, and business models. The role emphasizes collaboration with PMs, engineering, and strategy, leveraging advanced analytics, attribution methods, and data visualization to enable data-informed governance and optimization of monetization