Data Analyst, Product Solutions & Operations

Responsibilities

Team Introduction
TikTok's Product Solutions & Operations (PSO) team aims to drive ad product growth by leading local product strategy and go-to-market plans, as well as reflecting key market insights and product feedback to global product teams to improve TikTok's suite of ad products. A truly collaborative team, PSO works closely with Marketing Science, Solutions Engineering, Global Business Marketing and many more teams. Our team is agile and curious, and the place to be for problem-solvers and strategic thinkers who are not afraid to get their hands dirty.

1. Responsible for business analysis of Tiktok monetization products. Evaluate business health, identify potential risks and major business opportunities from a regional perspective, using statistical analysis, quantitative attribution and other methods.
2. 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.
3. Design comprehensive metrics frameworK and and execute cadence programs to track milestones, metrics, and goals for key product solutions.
4. Provide thought leadership on product data requirements and help capture the right level of data early on to drive product adoption.
5. Collaborate with PM, market PMM, sales, strategy team and other roles to deliver business and product analysis with clear conclusions and implementation plans, provide decision-making references for leaders and achieve data-driven business growth.
6. Provide high-information-density business data insights for leaders and analytical support for day-to-day product-related operational questions

Qualifications

Minimum Qualifications
1. At least 5+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
2. Fluency in SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative attribution methods.

Preferred Qualifications
1. Experience in cross-team cooperation; quickly adapting to complex environments; good communication skills preferably in both Chinese and English; enthusiastic about data-driven approaches. Proficiency in Chinese is required for effective communication with cross-functional teams and key stakeholders, ensuring the smooth execution of tasks and alignment with business objectives. The ability to understand and communicate complex information in Chinese is essential for this role.