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Tier-1 brand, metro location, mid-level generalist role with broad analytics skills.
Product analytics skills transfer across consumer tech, but ecommerce livestream specialization raises domain sensitivity.
Explicit 4–8 years plus mandatory SQL, Python, and experimentation skills increases filter strictness.
Own product analytics across the eBay Live buyer journey including discovery, engagement, bidding, purchasing, and retention.
Design, analyze, and interpret A/B tests and advanced experiments to guide product decisions and identify growth opportunities.
Build scalable dashboards and measurement frameworks, partnering with engineering to improve data instrumentation and quality.
4-8 years of experience in data science, product analytics, or related roles.
Strong proficiency in SQL and Python.
Hands-on experience with product analytics, A/B testing, statistical methods, and analyzing large behavioral or event-level datasets.
Work Experience Required: 4-8 years in relevant analytics or data science roles.
Experienced in product analytics within e-commerce, marketplaces, or real-time product environments.
Skilled in experimental design including causal inference and advanced experimentation methodologies.
Able to communicate complex analyses clearly to cross-functional teams including Product, Engineering, and Design.