Data Analyst, Product Solutions and Ops

TikTok’s Product Solutions & Operations (PSO) team aims to help businesses and brands address their marketing goals through product solutions and also reflecting key insights back to the product teams for product iteration. This role will partner closely with the EUI Strategy and Operations lead to ensure that all projects are completed on time and to the highest standard. This highly organized and efficient professional must be flexible and able to wear multiple hats while working closely with our cross functional teams and prioritising the needs of the team.

Responsibilities

• 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.

• 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.

• Design comprehensive metrics framework and execute cadence programs to track milestones, metrics, and goals for key product solutions.

• Provide thought leadership on product data requirements and help capture the right level of data early on to drive product adoption.

• Collaborate with PM, 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.

• Provide high-information-density business data insights for leaders and analytical support for day-to-day product-related operational questions

5+ Years industry experience (preferably in ad tech, agencies, digital marketing) and 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.

• Strong curiosity; sensitive to data; good at extracting insights from data., Experience in cross-team cooperation; quickly adapting to complex environments