Amazon Business Intelligence candidates most often report SQL assessments and live SQL work, followed by interviews that combine project deep dives, visualization or business cases, and Leadership Principles questions.
$110K
Avg. Base Comp
$175K
Avg. Total Comp
3-4 rounds
Typical Rounds
Not reported
Process Length
Amazon Business Intelligence and BIE candidates commonly report an online assessment or early screen before technical and behavioral interviews. The technical work is consistently SQL-centered: reports mention joins, CTEs, aggregations, ranking and other window functions, query-output reasoning, and live or notepad-style coding. Several candidates also encountered practical BI prompts, including investigating a metric decline, defining dashboard metrics, reviewing visualizations, or explaining ETL trade-offs.
Prepare to narrate your reasoning, not merely produce a query. Candidates describe follow-up questions about SQL choices, project details, data modeling, dashboard design, and their specific contribution. Leadership Principles recur throughout the reported process, including technical screens and later behavioral conversations. Build concise STAR stories that make your individual actions, decisions, business context, and measurable results clear. Expect probing follow-ups rather than one broad behavioral prompt.
Reported total interview counts range from three to four rounds in completed processes, while other candidates describe larger final loops or still-pending processes. The sequence also varies by team and level: some reports start with an assessment, while others begin with a recruiter or phone screen. The most consistent preparation pattern is practical SQL fluency, clear communication about business decisions, and a detailed command of your past work.
Synthesized from 32 candidate reports by our editorial team.
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Real interview reports from people who went through the Amazon process.
I just took the online assessment test. There was around 15 SQL questions, only 2 of them needed to write queries for. Rest were multichoice. The questions looked very easy to me. However my queries wouldn't run. I couldn't figure out what went wrong.
Questions asked: Aggregation, CTE, join, date. The questions were so easy and straight forward unless I've missed the complications. ;-) Easy to Medium Leetcode questions would prepare you perfectly for this test. Question: find the top 5 performers of department for specific year.
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Topics based on recent interview experiences.
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| Question | |
|---|---|
| Rolling Bank Transactions | |
| Customer Orders | |
| Comments Histogram | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Subscription Overlap | |
| Top Three Salaries | |
| Monthly Customer Report | |
| Experiment Validity | |
| Average Quantity | |
| Manager Team Sizes | |
| Month Over Month | |
| Button AB Test | |
| Flight Records | |
| Upsell Transactions | |
| Top 3 Users | |
| Longest Streak Users | |
| Merge Sorted Lists | |
| Project Pairs | |
| Compute Deviation | |
| Rolling Average Steps | |
| Download Facts | |
| Retailer Data Warehouse | |
| Total Time in Flight | |
| Monthly Product Sales | |
| Group Success | |
| Random SQL Sample | |
| Daily Retention Summary | |
| Size of Joins |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report either an online SQL assessment or an initial recruiter or phone conversation. Assessments may include SQL problems, multiple-choice or query-output questions, and working-style items. Early conversations can combine resume discussion, SQL fundamentals, and a Leadership Principles question.
Candidates describe technical interviews using live, whiteboard-style, or notepad SQL. Reported areas include joins, CTEs, aggregations, ranking, LAG or LEAD, filtering, and query optimization. Practice stating assumptions, explaining your approach, and checking syntax as you work.
Some reports include dashboard-design prompts, metric-drop investigations, visualization discussion, ETL trade-offs, data modeling, Python, or a detailed walkthrough of prior work. Be ready to explain the business need, your individual contribution, and why you chose a particular analytical approach.
Leadership Principles questions appear across reported processes, sometimes beside technical work. Candidates mention ownership, deadlines, ambiguity, root-cause analysis, stakeholder situations, and learning. Prepare several concrete stories with clear actions and outcomes, since interviewers may probe beyond the initial answer.
Several experienced-role candidates report a virtual loop with multiple interviews, including behavioral and technical sessions; some identify a bar-raiser-style conversation. The balance of SQL, visualization, business judgment, and behavioral depth varies by team and role.