The Amazon Data Analyst interview process typically consists of multiple stages, focusing on technical skills, problem-solving abilities, and cultural fit. Here’s a breakdown of the process: 1. Online Application & Resume Screening Submit your resume through Amazon’s career portal or job boards. The hiring team reviews your qualifications and experience. 2. Online Assessment (OA) If shortlisted, you may receive an online test, which includes: SQL Assessment: Writing queries to retrieve and manipulate data. Excel/Spreadsheet Test: Data analysis, pivot tables, and basic functions. Statistics & Business Analytics Questions: Hypothesis testing, A/B testing, and key business metrics. 3. Phone Screening (Technical Round) A 30–45-minute call with a hiring manager or a data analyst. Questions may include: SQL queries (e.g., JOIN, GROUP BY, HAVING, RANK functions). Excel-based problem-solving. Data interpretation and visualization. Behavioral questions using the STAR method (Situation, Task, Action, Result). 4. Final Interviews (Virtual or On-Site) Multiple rounds (2-4 interviews) with hiring managers, analysts, and business stakeholders. Technical Interview: Complex SQL queries, optimizing queries. Business intelligence tools like Tableau, Power BI. Basic Python or R (if required). Case Study & Problem-Solving: Analyzing business scenarios, defining key metrics, and making recommendations. Behavioral Interview: Amazon’s Leadership Principles (e.g., "Customer Obsession," "Deliver Results"). Past project experiences and problem-solving mindset.