Amazon Data Analyst candidates report SQL-heavy screens, Leadership Principles behavioral rounds, and sometimes a timed assessment or multi-interview loop. Here is how the reported stages differ and what to practice.
$131K
Avg. Base Comp
$193K
Avg. Total Comp
2-6 rounds
Typical Rounds
Not reported
Process Length
Amazon Data Analyst candidates describe two things that matter most: SQL under time pressure and Leadership Principles stories. The format varies by team and by candidate, so treat the stages below as reported examples, not a fixed script.
On the technical side, one candidate described a timed home assignment with about 20 calculation questions and 20 SQL questions, where long question text and unfamiliar terminology cost more time than the math. One question there asked for the fraud rate for each product category. Another reported an assessment covering SQL and Python, then a written test that added statistics, and an hour-long screen with six easy-to-medium SQL questions and one numerical Python question. Others describe a SQL test whose difficulty seemed to depend on the interviewer, and a question on finding the top-selling product in each category.
The behavioral side is just as visible. Candidates report STAR-style questions about a time they struggled, why Amazon should choose them, using data to solve a business problem, prioritizing competing requests, and handling customer complaints. Some interviewers tie much of the conversation back to specific principles such as customer obsession, and one hiring-manager round also probed how the candidate communicates with senior stakeholders.
Some loops add business-judgment questions, such as analyzing customer churn, defining KPIs, or handling missing data. One candidate was asked to explain AWS and its services. Timelines vary: one candidate described roughly two to three months from first contact to result, while others said the process moved quickly. Reported outcomes are mixed, with offers and rejections, so prepare both halves: a timed SQL routine and three to five specific stories you can adapt.
Synthesized from 39 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Some candidates report starting with a timed assessment. One described about 20 calculation and 20 SQL questions with long, jargon-heavy prompts. Another described an assessment covering SQL and Python, followed by a written test that added statistics. Not every candidate reports this stage, so it may depend on the team. Practice SQL and spreadsheet work against a timer.
Candidates typically report an early conversational screen covering your background, motivation for the role, and sometimes a project walkthrough. One candidate said it had no technical questions. Prepare a concise introduction and be ready to explain any gaps in your history.
Candidates report technical interviews dominated by SQL. One lasted about an hour with six easy-to-medium SQL questions and a numerical Python question. Another candidate said the difficulty seemed to depend on the interviewer. Expect to explain your reasoning aloud under time pressure.
Behavioral questions appear in most reports. Candidates describe questions about a time they struggled, using data to make decisions, prioritizing competing requests and handling customer complaints. Many tie back to Leadership Principles, so several flexible STAR examples with clear metrics and your own role are typically more useful than one memorized answer per principle.
Loop formats differ. One candidate described three senior interviewers focused on Leadership Principles, including an unusual task to research and explain a historical event. Another described three onsite-style rounds followed by a bar raiser. Business-case questions on churn or KPIs, and AWS basics, may come up depending on the team.
