Monetization Business Analytics Lead

Tiktok • San Jose, CA

32d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Responsible for business analysis of Tiktok Global Monetization Team. 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.
• 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 teams 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Broadcasting and Content Providers
• Number of Employees: 5,001-10,000 employees