Amazon L5 Data/Analytics – Leadership Principles Behavioral Round
Prepare STAR stories that demonstrate scope, ambiguity handling, and measurable impact. Tailor to data science contexts (experiments, modeling, data quality, platform engineering, stakeholder influence).
Prompts
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Customer Obsession
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Tell me about a time when you didn't meet customer expectations.
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What happened and how did you deal with the situation?
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If you had another chance, what would you do differently?
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Have Backbone; Disagree and Commit
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Describe a situation where you disagreed with a decision, yet committed and moved forward.
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What was the outcome?
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Bias for Action + Are Right, A Lot
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Give an example of when you had to act quickly with limited data.
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How did you ensure you were right, a lot?
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Ownership + Insist on the Highest Standards
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Tell me about a project where you owned the result end-to-end and insisted on high standards under pressure.
Hints
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Use STAR (Situation, Task, Action, Result) and add Learnings.
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Quantify impact (e.g., revenue, latency, precision/recall, p90/p99, defect rate, adoption).
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Make Amazon Leadership Principles explicit in your narrative.
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Reflect on trade-offs, risks, and what you’d do differently.