Monetization Strategist (Analytics)

Responsibilities

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.

Qualifications

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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $108000 - $208800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

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.

Qualifications

Qualifications

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.