I got asked a few basic SQL questions, nothing crazy very achievable SQL. Then some quanititavie questions to check my reasoning to how i WOULD DEAL WITH DIFFERENT business problems and what data i WOULD need to solve it. They also asked specific questions about my experience and how I did certain data projects
Can you go deeper into this data project
How would you interpret and explain if sales of x fell
Account Executive
virtual
· Dificultad 3/5
Amazon AWS sales interviews are metrics-driven and LP-focused. Phone screen with recruiter, then hiring manager screen. Virtual loop had 4 rounds: sales presentation, objection handling roleplay, territory planning, and LP deep-dive. The presentation was on a mock AWS solution for a given customer scenario.
Tell me about your biggest deal that fell through. What happened? (LP: Earn Trust)
Describe a time you built a pipeline from scratch in a new territory. (LP: Ownership)
Tell me about a time you went above and beyond for a customer. (LP: Customer Obsession)
Give me an example of when you had to be creative to close a deal. (LP: Invent and Simplify)
UX Researcher
virtual
· Dificultad 3/5
Amazon UXR interviews balance research methodology with LP assessment. Phone screen, then portfolio review. Virtual loop had 4 rounds: research methodology deep-dive, portfolio presentation, cross-functional stakeholder scenario, and LP behavioral. The methodology round included designing a research plan for a given product challenge.
Tell me about research findings that contradicted what the team believed. How did you handle it? (LP: Have Backbone)
Describe a time you had to conduct research with tight timelines and limited resources. (LP: Bias for Action)
Tell me about a time your research directly impacted a product decision. (LP: Customer Obsession)
How do you prioritize research requests when you have multiple stakeholders? (LP: Deliver Results)