Amazon Business Intelligence interview typically runs 3-5 rounds: recruiter screen, SQL assessment, technical phone screen, loop, and bar raiser. Timeline is usually a few weeks, with a highly Amazon-specific process centered on Leadership Principles.
$122K
Avg. Base Comp
$152K
Avg. Total Comp
4
Typical Rounds
3-5 weeks
Process Length
We've seen a consistent pattern in Amazon BI interviews: the company cares less about polished BI theater and more about whether you can reason from messy data to a business decision. Multiple candidates reported being pushed beyond straightforward SQL into scenarios like query performance degradation, dashboard trade-offs, and visualization critique. One candidate was asked how to respond when a report slowed from 10 seconds to 2 minutes after a table grew by 20%; another had to justify chart choices and even whether an axis should start at 0 or 200. That tells us Amazon is looking for people who can explain why a metric moved, what to do next, and how to defend the choice in front of stakeholders.
A recurring theme is that the bar is not always neatly "BI-only." Our candidates report window functions, joins, NULL behavior, and ranking problems, but also SDE-flavored pressure around data structures, system design, and optimization. The non-obvious part is that Amazon often wants the answer to feel operationally grounded: one candidate noted the emphasis on "big numbers" and a big-picture narrative, while another was asked to think through incremental vs. full loads and downstream dashboard design. In other words, they care about whether you can connect the SQL to the product and the product to the customer.
The other thing we consistently see is how deeply Amazon uses Leadership Principles as a filter, not a formality. Candidates repeatedly mention aggressive follow-ups, deep dives into their exact contribution, and a need to quantify impact rather than speak in generalities. The strongest experiences came from people who could anchor stories in concrete outcomes — for example, removing an underused dashboard tab that improved load time by 40% — while weaker experiences often came from vague answers or inflated narratives. Amazon BI rewards specificity, ownership, and the ability to stay honest when the data doesn’t support a flashy story.
Synthetized from 17 candidates reports by our editorial team.
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| Question | |
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| Rolling Bank Transactions | |
| Customer Orders | |
| Comments Histogram | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Subscription Overlap | |
| Monthly Customer Report | |
| Average Quantity | |
| Manager Team Sizes | |
| Button AB Test | |
| Month Over Month | |
| Flight Records | |
| Upsell Transactions | |
| Top 3 Users | |
| Project Pairs | |
| Compute Deviation | |
| Experiment Validity | |
| Download Facts | |
| Rolling Average Steps | |
| Retailer Data Warehouse | |
| Total Time in Flight | |
| Group Success | |
| Random SQL Sample | |
| Cumulative Reset | |
| Paired Products | |
| Daily Retention Summary | |
| Swipe Precision | |
| Google Maps Improvement |
Synthesized from candidate reports. Individual experiences may vary.
An initial recruiter call covers your background, interest in the Business Intelligence role, resume fit, and logistics such as work authorization or visa status. In some cases, the recruiter also gives a high-level preview of the process and what to expect in later rounds.
Candidates complete an Amazon-style assessment with SQL questions, multiple-choice questions, and working-style or leadership-principles items. The SQL portion often includes joins, window functions, pivoting, and output-prediction or syntax-troubleshooting questions.
This round mixes live SQL with behavioral questions and follow-ups on past projects. Interviewers commonly probe CTEs, joins, window functions, ranking problems, and practical BI scenarios, while also asking Leadership Principles questions in STAR format.
The final loop is a set of back-to-back interviews that combines deeper SQL, BI casework, data visualization, ETL or data modeling discussion, and extensive behavioral probing. Some candidates also see a Bar Raiser in this loop, and the interviews can include cross-functional or manager-style conversations about business judgment and ownership.