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Tier-1 brand, metro location, mid-level generalist role, and broad AI/analytics requirements increase competition.
Core data science skills transfer easily, but shipping/product domain knowledge increases fit sensitivity across industries.
Explicit 6-9 years, 2+ years leading teams, and mandatory SQL/Python/statistics make shortlisting highly strict.
Lead the Shipping Analytics function by partnering with Shipping, product, and engineering teams to derive customer-centric insights and influence the Shipping roadmap.
Own and execute the end-to-end analytics strategy for eBay's Shipping product including opportunity sizing, experimentation, measurement, and impact evaluation.
Build and scale AI-enabled analytics systems, leverage LLMs and modern data tools to accelerate analysis, and drive experimentation excellence.
6-9 years of experience in product analytics, data science, or rigorous analytics roles with at least 2 years in a leadership role.
Deep expertise in SQL, Python, and building AI applications.
Strong foundation in statistics, hypothesis testing, and analytics fundamentals.
Excellent communication skills and experience working in highly matrixed, cross-functional environments.
Experienced analytics leader with strategic influence on product and business decisions in a data-driven environment.
Proficient in AI and modern data tooling with hands-on experience in building scalable analytics and experimentation systems.
Skilled in cross-functional stakeholder management and aligning multiple teams on analytics vision and execution.