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Tier-1 brand, metro location, managerial data science role with broad analytics skills increases competition.
Core analytics and experimentation skills transfer across industries, but e-commerce marketplace domain knowledge increases specificity.
Explicit 7+ years and mandatory analytics, SQL, and experimentation skills make filters stringent.
Support analytics strategy for Consumer-to-Consumer M&A integrations to enhance seller experience and business outcomes.
Develop and implement metrics, experimentation frameworks, and AI-enabled data products that improve decision-making and automate workflows.
Own business performance tracking and translate analytical insights into recommendations for leadership and stakeholders.
Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or related quantitative field.
7+ years of relevant experience.
Strong hands-on SQL skills with experience handling large, complex datasets.
Proven ability to create intuitive dashboards and visualizations using BI or analytics tools focused on usability and actionable insights.
Experienced in product analytics including funnel analysis, feature adoption, performance measurement, and customer behavior analysis within ecommerce or consumer technology.
Ability to connect data analysis with product and business context to influence strategy and roadmap decisions.
Comfortable working cross-functionally with product, engineering, and business teams to drive scalable analytics solutions and prioritize impactful initiatives.