Senior Analyst, Search and Recommendations
Core
Analyze large-scale behavioral data and execute statistical tests to measure the impact of search and recommendation algorithm changes on customer preferences and system performance.
Role type
Senior Analyst, Search and Recommendations
Builds
Search algorithms and recommender systems for a digital shopping experience
Domain
Retail / E-commerce / Data Science
Deliverable
dashboards & analysis
Required skills
SQL, Python (pandas, matplotlib), statistical hypothesis testing, experimental design, large dataset analysis (Spark/Databricks), BI tools (Tableau/PowerBI/Looker)
Preferred skills
Experience in e-commerce or marketplace environments, familiarity with search/recommendation mechanics
Technologies
Spark, Databricks, pandas, matplotlib, Tableau, PowerBI, Looker
Responsibilities
Analyze search queries, click-through rates, and purchase patterns; Design and interpret A/B tests and holdout experiments; Partner with data scientists on model validation; Translate complex findings into narratives for stakeholders; Develop and maintain tracking dashboards
Seniority
Senior, hands-on IC
