Description:

eBay is hiring a Senior or Lead Product Analyst within its Search Product Analytics function in Bangalore. Sitting at the absolute center of buyer engagement for one of the world's largest marketplace platforms, this role anchors data strategy across core algorithmic domains like ranking, relevance, personalization, and query understanding. You will act as the core analytical link between product managers, machine learning engineers, and cross-functional teams (Ads, Personalization, Buyer Experience) to map out how backend search changes impact real-world user intent. The scope demands deep mathematical depth—requiring you to craft foundational metric frameworks, run complex causal inference studies, and design large-scale A/B testing matrixes that dictate the evolution of the global Search roadmap.

Key Technologies:

SQL, Python, A/B Testing, Tableau, Statistical Hypothesis Testing

Requirements:

• 3–7 years of professional experience operating inside product analytics, growth analytics, or dedicated experimentation roles.
• Advanced, master-level command over digital A/B testing mechanics—including proper sample size allocation, variance reduction, tracking alpha/beta error boundaries, and building causal inference analysis models.
• Deep expertise utilizing SQL to engineer structured analytical queries across immense data lakes, paired with advanced Python data profiling skills (utilizing libraries such as Pandas, NumPy, or SciPy) to model user behavior datasets.
• A rock-solid baseline in mathematical statistics, probability models, multivariate regression modeling, and rigorous data-driven hypothesis testing.
• High capability mapping complex behavioral insights into scalable, reusable executive dashboards using Tableau or equivalent enterprise visualization suites.
• Prior functional understanding or hands-on data mapping exposure within Search infrastructures, search relevance evaluation metrics (e.g., NDCG, Precision/Recall, MAP), algorithmic ranking configurations, or large-scale multi-vendor marketplace platforms.
• Basic analytical exposure to machine learning performance monitoring, data classification structures, and modeling feature metrics.
• Proven track record creating standardized reporting tables, cleaning noisy raw event streams, and building reusable analytics templates to optimize workflow pipelines.
• Superior verbal and written communication patterns with a demonstrated ability to translate complex mathematical formulas and statistical outputs into highly accessible, strategic business narratives for multi-regional stakeholders.