Amazon Business Analyst candidates commonly report assessments or screens, analytical exercises, and a multi-interviewer loop. Preparation should pair clear SQL or Excel reasoning with quantified STAR stories tied to leadership-principle-style prompts.
$97K
Avg. Base Comp
$314K
Avg. Total Comp
3-6 rounds
Typical Rounds
2-4 weeks
Process Length
Amazon Business Analyst interviews are commonly reported as a mix of early screening or assessment work, analytical exercises, and behavioral interviews. The recurring preparation theme is specific, quantified ownership: candidates describe being pressed to explain exactly what they did, why they chose an approach, and what changed as a result.
Several candidates encountered an email-style or work-simulation assessment before interviews. Others reported Excel cases requiring them to analyze a dataset, identify trends, and explain recommendations. One candidate described an SQL and analytics assessment involving joins, aggregations, revenue, and conversion rates. Business scenarios included high return rates and product recommendations. Practice explaining your analytical choices aloud, not only reaching an answer.
Behavioral conversations were often framed around Amazon Leadership Principles. Reported prompts covered customer focus, stakeholder conflict, process improvement, initiative, working outside a comfort zone, and decisions made with incomplete information. Build distinct STAR stories with clear scope, actions, metrics, and follow-up detail; interviewers may probe your individual contribution and measurable results.
The exact sequence varies by team. Candidates variously reported recruiter or HR screens, online assessments, manager conversations, cases, and loops with several interviewers, so prepare for both analysis and structured storytelling rather than assuming one fixed format.
Synthesized from 33 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report early HR or recruiter conversations, online SQL assessments, numerical or logical tests, and email-style work simulations. Some simulations involved responding to a numbers-heavy email scenario, so be ready to interpret the information and explain a practical choice.
Reported analytical work includes Excel dataset cases, SQL screens, and business math such as profit and percentage calculations. Candidates may be asked to identify trends, make a recommendation, or write and explain a query live; the exact exercise varies.
Candidates commonly report STAR-based questions on customer focus, stakeholder disagreement, process improvement, initiative, deadlines, and ambiguity. Interviewers may ask follow-ups on timelines, individual contributions, decisions, and measurable outcomes.
Some candidates report a loop with team members and, in one account, an independent Amazon interviewer. The loop may combine behavioral discussion with analytical or case work, so keep examples concise while preserving the details behind your impact.