Responsibilities    Search Analytics & Insights → Analyze large-scale e-commerce search data to identify trends and improvement opportunities across search, ranking, recommendations, and personalization Query & Ranking Analysis → Investigate search behavior, including zero results, query reformulation, abandonment, position bias, CTR, and relevance versus business trade-offs KPI Measurement & Experimentation → Define and interpret search KPIs and rigorously evaluate online experiments across ranking, personalization, recommendations, and hybrid or vector search Data & Metrics Development → Build end-to-end metrics layers using event-level data and server-side search logs, from raw tracking data to clear datasets and visualizations Cross-Functional Analytical Leadership → Lead analytical initiatives and collaborate with Product, Data Science, MLOps, and ML/Search Engineering teams to improve product and business outcomes