Amazon Business Analyst Interview Guide

Amazon runs its business analyst loop differently from most FAANG analyst interviews. Leadership Principles surface in every round, including the technical ones; SQL or dashboard questions double as behavioral evaluations; and how you reason through data is just as important as the query you write. To prepare, practice SQL, dashboarding, and other data analytics interview skills, and tie them to Amazon's Leadership Principles.

This guide breaks down each stage of the Amazon business analyst interview, what interviewers look for, and how to prepare with example questions, actionable tips, and resources.

Amazon business analyst interview process

Amazon's business analyst (BA) interview process is team-dependent, and the structure varies widely between organizations.

Here's what the interview process can look like:

• Online assessment: Timed SQL, Excel, and analytical questions, completed remotely
• Recruiter screen: A 30-minute conversation on your background and motivation
• Technical screen: Roughly 60 minutes of SQL and data visualization with a hiring manager
• Onsite loop (Superday): Four to six 45-60 minute interviews covering technical, business, and Leadership Principles, usually including a Bar Raiser

Amazon business analyst online assessment

Amazon opens the business analyst loop with a timed online assessment that tests SQL, Excel, and analytical reasoning. You'll take it remotely, working through query tasks, spreadsheet challenges, and data-interpretation questions.

On the SQL portion, some teams hand you metadata, like table names, columns, and sample rows, without a clearly defined question, so part of the test is working out which query the scenario calls for.

The assessment runs 45 to 90 minutes and varies by team, along with question count and format. Some teams add a separate Work Style Assessment, a short questionnaire mapped to Amazon's Leadership Principles.

Interviewers look for:

• SQL fluency: Whether you can write correct, readable queries under time pressure
• Spreadsheet proficiency: How comfortably you use functions like VLOOKUP and pivot tables
• Analytical reasoning: Your ability to interpret data and draw defensible conclusions
• Speed and accuracy: Whether you finish tasks correctly within the time limit

Sample questions

Here are some real interview questions reported by candidates:

• Given a table of senders, receivers, dates, and amounts, calculate each user's balance at the end of the month.
• Using badge-in and badge-out timestamps, determine who was in the building at a given time.
• Write a query that joins multiple datasets to calculate revenue and conversion rate.

Amazon business analyst recruiter screen

The 30-minute recruiter screen for Amazon business analysts covers your background, motivation, analytics experience, and interest in the role.

The recruiter also previews the Leadership Principles focus, outlines the BA interview process, and opens the compensation conversation, so come with a target range. Most interviewers won't ask about specific Amazon products or vertical knowledge at this stage.

Interviewers look for:

• Relevant experience: How your background maps to business analyst responsibilities
• Motivation: Why you want to work at Amazon in this role
• Communication: How clearly you summarize past projects and their impact
• Culture alignment: Whether your examples reflect Amazon's Leadership Principles

Sample questions

Here are some real interview questions reported by candidates:

• Why do you want to work at Amazon?
• Tell me about your experience as a business analyst.
• What's your experience with SQL, Excel, or a specific analytics tool?

Amazon business analyst technical screen

A hiring manager usually runs the Amazon business analyst technical screen, which pairs SQL proficiency with data visualization. The round runs 60 minutes and sets the baseline for technical competence, tying each of your answers to a Leadership Principle.

Simply writing a correct query won't carry the round. Every Amazon team works with massive datasets, so you need to optimize for scale, like adapting a query that works on 1 TB to run on 10 TB.

Joins, CTEs, and window functions come up most, so practice them until they're automatic. You'll write SQL in a shared editor that highlights syntax but doesn't run the query, so narrate your logic as you go.

Interviewers look for:

• SQL command: Whether you use joins, aggregations, window functions, and CTEs correctly
• Query optimization: How you adapt queries for large datasets
• Visualization judgment: How you choose chart types, like a year-over-year trend vs. a distribution comparison, and justify them
• Data modeling: How you'd structure the underlying data in S3 or Redshift, and when to partition vs. aggregate
• Dashboard thinking: Whether you clarify the audience and the decisions a dashboard supports

Sample SQL questions

Here are some real interview questions reported by candidates:

• Explain how you'd use GROUP BY, and when a subquery is the better choice.
• Find the third-highest salary in an employee table using a self-join.
• Write a query using window functions to rank products by revenue within each category.

Sample data visualization questions

• How would you recommend a product to a customer who already has a full cart, and what data would you use?
• Explain the difference between a star schema and a snowflake schema.
• Describe a dashboard you built and how it supported a decision.

Amazon business analyst onsite loop (Superday)

Amazon's business analyst onsite loop (Superday) runs four to six back-to-back interviews of 45 to 60 minutes each. One round centers on technical and business acumen, and the rest focus on behavioral questions tied to Leadership Principles.

Rounds run one-on-one, in person, or virtually on Amazon Chime depending on your location and the team. Most loops include a Bar Raiser, an interviewer from outside the hiring team who gives an impartial read and holds veto power in the decision.

Amazon aims to share a decision within roughly five business days of the loop, part of its Candidate Promise.

Technical and business-acumen round

The Superday technical and business-acumen round mirrors the loop's earlier tech screen, but adds a real-world business challenge. You'll define the challenge, source and prepare relevant data, structure the analysis, and set clear success metrics.

How you frame the challenge and tie your recommendation to business impact matters more than reaching a single correct answer.

Interviewers look for:

• Challenge framing: How you define an ambiguous business question
• Data approach: How you'd source, clean, and structure the data
• Metric selection: Which success metrics you choose and why
• Business impact: Whether you connect the analysis to a clear recommendation

Sample questions

• Car sales are declining quarter over quarter. How would you find the root causes and recommend fixes?
• How would you grow Amazon's Alexa business in a new region?
• Amazon's delivery times increased last quarter. What would you investigate, and how would you improve them?
• A product category's refund rate is above average. Which metrics would you check, and how would you reduce unnecessary refunds?
• Prime membership renewals dropped 5% last quarter. How would you investigate?
• Orders from mobile app users are declining. Which KPIs would you track to find the cause?

Leadership Principles rounds

Most of Amazon's business analyst Superday centers on the 16 Leadership Principles, though the Principles come up in every interview across the loop. Build a structured story bank of recent projects, and show how you used data to drive your decisions. "Insist on the Highest Standards" and "Are Right, A Lot" come up often in business analyst loops, so prepare stories for both.

Interviewers look for:

• Customer Obsession: Whether you start from customer needs and work backward
• Ownership: Whether you act beyond your immediate role
• Dive Deep: How far you go into the data and details
• Bias for Action: How you make decisions under uncertainty
• Think Big: Whether you propose bold, scalable ideas
• Deliver Results: Whether you drive outcomes despite obstacles

Sample questions

• Describe a time a customer asked for one thing but needed something else.
• Tell me about a time you used customer feedback to drive innovation.
• Tell me about a time you anticipated a customer's needs.
• Tell me about a time you did something outside your job description.
• Tell me about a time you changed direction using data.
• Describe a decision you made without enough data, and what happened.

How to prepare for the Amazon business analyst interview

1. Map stories to multiple Leadership Principles: Prepare examples flexible enough to answer several Principles, because interviewers will reuse one story across rounds.
2. Practice SQL from metadata alone: Write queries against table names and sample rows without a stated question, to mirror the assessment format.
3. Practice explaining dashboard tradeoffs out loud: For each metric, walk through the audience, the chart choice, and the decision it drives.
4. Time your case structure: For a declining-metric prompt, practice defining the question, picking metrics, and delivering a recommendation within a few minutes.
5. Run mock interviews: Practice with peer and AI mock interviews, or book 1:1 coaching with an Amazon interviewer.
6. Work through real questions: Review real Amazon business analyst interview questions across SQL, cases, and Leadership Principles.

About the Amazon business analyst role

Amazon business analysts turn large, raw datasets into decisions that shape products, operations, and strategy. The role blends SQL, data modeling, dashboarding, and stakeholder communication.

Most analytical roles at Amazon carry the Business Analyst title rather than Data Analyst, though Amazon does hire Data Analysts and Business Intelligence Engineers as well. The Business Analyst role is broader and more business-facing than the Business Intelligence Engineer role, which adds data modeling and light system design.

Business analysts sit across many organizations, including Listing Analytics, Amazon Transportation Services, Selling Partner Experience, Amazon Devices, and AWS Global Sales. The specific challenges vary by team, but the core skill set stays consistent.

Amazon business analysts typically work on:

• Data access and management: Building queries, organizing raw data, and designing reports
• Analysis: Retrieving and interpreting large datasets with SQL and Excel
• Reporting ownership: Producing accurate, timely reports and resolving data discrepancies
• Metrics: Defining and tracking KPIs and finding process improvements
• Collaboration: Partnering with cross-functional teams on execution

Amazon business analyst experience and levels

Amazon levels business analysts from L4 to L7 based on scope and autonomy:

• L4 (BA I): Executes assigned tasks within one team
• L5 (BA II): Owns workstreams within an organization
• L6 (BA III): Drives initiatives across multiple teams
• L7 (Principal BA): Sets analytical direction at scale

Additional resources

• Data Analytics interview course
• SQL interview course
• Amazon Leadership Principles course
• Amazon BI Engineer interview guide
• Amazon Data Engineer interview guide
• Real Amazon BA interview questions
• Peer and AI mock interviews

FAQs about the Amazon business analyst interview

How should I prepare for the Amazon business analyst interview?

To prepare for the Amazon BA interview, focus on SQL, dashboard design, and Leadership Principles stories, since every round tests some combination of the three. Build a story bank, practice queries under time limits, and practice translating your analysis into a clear recommendation.

What's on the Amazon business analyst online assessment?

The Amazon BA online assessment tests SQL, Excel, and analytical reasoning, and it's usually completed remotely. You'll often get metadata, like table names and sample rows, and have to work out the right query yourself. It usually runs 45 to 90 minutes, though exact length, question count, and format vary by team.

How long is the Amazon business analyst interview process?

The Amazon business analyst interview process usually takes about 3-6 weeks from the online assessment to an offer. Scheduling, team, and reloops can extend it to 2 months or more.

What does an Amazon business analyst do?

An Amazon business analyst turns raw data into business decisions using SQL, Excel, dashboards, and stakeholder communication. Day to day, that means building queries and reports, tracking KPIs, and partnering with teams to improve processes.

Is a Business Analyst the same as a Business Intelligence Engineer at Amazon?

Business Analysts and Business Intelligence Engineers are different roles at Amazon, and the main difference is technical depth. Business Analysts focus on SQL, Excel, and business cases, while Business Intelligence Engineers add data modeling and light system design and tend to earn more at the same level.

How much does an Amazon business analyst make?

Here are the reported compensation ranges by level for Amazon business analysts, according to Levels.fyi:

• L4 (BA I): ~$102K
• L5 (BA II): ~$136K
• L6 (BA III): ~$176K
• L7 (Principal BA): ~$314K

These figures are total compensation in USD, combining base salary, equity, and bonus, and are current as of May 2026. Amazon front-loads equity on a four-year 5/15/40/40 vesting schedule, and the L6 and L7 samples are thin, so treat the senior numbers as indicative.