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TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

About the team: Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

Responsibilities: - Build out reporting to track product performance using data visualization tools. - Bring strong desire to learn in a fast paced environment while collaborating with business stakeholders and technical leads. - Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success. - Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they're performing at their goals.

Minimum Qualifications: - Bachelor's degree or above in computer science, statistics, math, internet security or other relevant majors. - 5 years of work experience in data analytics/science or other relevant fields. - Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python.

Preferred Qualifications: - Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies. Bonus given to proficiency in data mining skills e.g. modern machine applications. - Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner.