This brief guide focuses on Instacart Analytics & Experimentation interview questions and what to expect when you walk into screens that blend product sense with rigorous analytics. Instacart’s marketplace work means interviews often evaluate your ability to define and instrument business-critical metrics (GMV, conversion, retention), design and analyze A/B tests, reason about causal threats and edge cases, and write efficient SQL. Interviewers look for statistical rigor, clear tradeoff thinking, pragmatic product judgment, and the ability to translate results into prioritized recommendations for cross-functional partners. For interview preparation, expect a mix of hands-on SQL/analysis problems, experiment design and interpretation prompts, and behavioral stories that show impact. Prepare by practicing end-to-end experiment analysis, refreshing hypothesis testing and power calculations, reviewing common bias sources and monitoring strategies, and polishing concise storytelling that links data to decisions. Bring concrete examples where you changed metric definitions, fixed instrumentation, or rescued an experiment—those demonstrate both technical depth and product-oriented influence.