Amazon Business Analyst Interview Guide (2025): Questions, Process & Tips

Amazon’s massive data ecosystem gives business analysts a front-row seat to industry-shaping decisions. Whether it’s optimizing logistics or driving customer insights, the role blends analytical skills with real business impact. Business analysts at Amazon are expected to dive deep into data, identify trends, and present actionable recommendations that align with business goals. With tools like SQL, Excel, Python, and AWS at the core, analysts solve real-time challenges at scale.

The Amazon Business interview process focuses on both technical skills and business intuition. In this guide, we’ll walk through the most common Amazon Business Analyst Interview Questions to help you understand what recruiters are looking for and how to stand out in a highly competitive process.

Why this Role at Amazon?

The Business Analyst role at Amazon stands out because of the scale, complexity, and real-world impact of the problems you get to solve. As a business analyst, you’re not just reporting numbers; you’re shaping strategy. From streamlining supply chains to improving customer experiences, your insights influence Amazon’s global operations in meaningful ways.

Amazon is a place where your work is valued, your growth is supported, and your impact is recognized. The company offers competitive pay, comprehensive benefits, and tailored training programs to help you grow. With flexible work options and an inclusive culture, Amazon empowers you to build a career that aligns with your life.

The Amazon Business Analyst interview process typically moves through four stages: phone screen, technical interview, behavioral round, and the final onsite “Super Day.” Each stage is designed to assess a mix of technical expertise and cultural fit. Here’s a breakdown of what to expect at every step:

Phone Screening

The interview process begins with a 45-minute phone or virtual interview conducted by a recruiter or hiring manager. While the focus is primarily behavioral, you should be ready for light technical questions as well. Expect to discuss your experience, how you’ve handled past challenges, and why you’re interested in the role.

Technical Screening

The technical screening in the Amazon Business Analyst interview process typically lasts around 60 minutes. This round is designed to assess your hands-on proficiency with tools like SQL, Python, or Excel. You’ll be asked to solve real-world business problems using data, write complex queries, and possibly walk through your logic.

Behavioral Interview

Behavioral interview focuses on how well you fit with the team and Amazon’s overall culture. Typically led by a hiring manager, this round dives into your past experiences to assess how you’ve demonstrated Amazon’s Leadership Principles in real scenarios. Expect questions that test your judgment, ownership, and ability to work in fast-paced or unclear situations.

Onsite “Super Day” Interview

In the final stage, often called Super Day, you’ll face 5 to 6 back-to-back interviews testing both your behavioral and technical skills. You’ll likely meet representatives from different teams and departments. Usually, 1 to 2 interviews focus on behavioral questions, while the remaining 3 to 4 cover technical problem-solving. Each session lasts about an hour, with short breaks in between.

Tips Before You Interview

Before you dive into the interviews, make sure you’re ready for both behavioral and technical questions. Study Amazon’s Leadership Principles so you can naturally integrate them into your answers. Also, brush up on your SQL and other key technical skills; these will help demonstrate your ability to think analytically and solve real business problems like a true business analyst.

Coding/Technical Questions

Technical questions in Amazon Business Analyst interviews test your ability to work with data in real-world scenarios. You’ll encounter questions involving SQL, Python, or other analytical logic.

1. How can you calculate the annual cost of overlapping nightly jobs that cause downtime?

   You can simulate the problem by writing a function that estimates the probability of overlap between the two jobs each night. Given that each job lasts an hour and can start randomly between 7 pm and midnight, you can simulate this scenario to find the probability of overlap. Multiply this probability by $1000 (the cost of downtime) and then by 365 (days in a year) to get the annual cost. Alternatively, you can solve this using probability by calculating the chance of overlap directly and applying the same multiplication for the annual cost.

2. Write a query that returns all neighborhoods that have 0 users.

   To find neighborhoods with no users, you can use an SQL query that performs a left join between the neighborhoods table and the users table and then filters for neighborhoods where the neighborhood_id is null.

3. Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.

   To identify customers who placed more than three transactions each in both 2019 and 2020, you can use a SQL query that groups transactions by user and year, counts the transactions, and filters for users meeting the criteria in both years.

4. How can you write a query to get the number of customers that were upsold, considering purchases made on the same day do not count as an upsell?

   You need to identify users who made additional purchases on different days after their first purchase. This can be achieved by writing a SQL query that groups transactions by user_id, orders them by created_at, and checks for purchases made on subsequent days.

5. How do you calculate the percentage of total revenue made during the first and last years recorded in a table?

   To calculate the percentage of total revenue made during the first and last years recorded in a table, you need to sum the revenue for each year and then divide the revenue of the first and last years by the total revenue. Multiply the result by 100 to get the percentage, and round it to two decimal places.

6. Given an array and a target integer, write a function sum_pair_indices that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list. Can you do it in (O(n)) time?

   You can use a hash map to store the difference between the target and each element as you iterate through the array. For each element, check if it exists in the hash map. If it does, return the current index and the index stored in the hash map. If no such pair is found, return an empty list.

7. Given a list of timestamps in sequential order, return a list of lists grouped by week (7 days) using the first timestamp as the starting point.

   You can use the first timestamp as the starting point and create sublists for each 7-day period. For example, given the input list ['2019-01-01', '2019-01-02', '2019-01-08', '2019-02-01', '2019-02-02', '2019-02-05'], the output would be [['2019-01-01', '2019-01-02'], ['2019-01-08'], ['2019-02-01', '2019-02-02'], ['2019-02-05']]. This approach ensures that each sublist contains timestamps that fall within the same 7-day period starting from the first timestamp.

8. Given a transactions table with date timestamps, sample every 4th row ordered by the date.

   You can use a SQL query that utilizes the ROW_NUMBER() function to assign a unique sequential integer to rows within a partition of a result set, and then filter for every 4th row.

9. How do you find the percentage of users with at least one seven-day streak of visiting the same URL?

   You need to analyze the event logs from the events table. The task involves identifying users who have visited the same URL for seven consecutive days and then calculating the percentage of such users out of the total number of users. 

10. How can you create a report to display which shipments were delivered to customers during their membership period?

    You need to join the customers and shipments tables on customer_id. Then, check if the ship_date falls between membership_start_date and membership_end_date. If it does, set the is_member column to ‘Y’; otherwise, set it to ‘N’.

11. How can you determine if a user’s subscription date range overlaps with any other completed subscription?

    You can write a SQL query that checks for overlapping date ranges. Specifically, for each user, you would compare their subscription’s start and end dates with those of other users to see if there is any overlap. If an overlap is found, the query should return true (or 1), otherwise false (or 0). 

Statistics/Business Case or Product Metrics Questions

These topics check your ability to apply basic statistical concepts to real business scenarios. Expect questions on A/B testing, hypothesis testing, and product metrics—focused on how you draw insights and make data-driven decisions.

1. What are the logistic and softmax functions? What is the difference between the two? What makes them useful in logistic regression?

   Logistic function maps input values to a probability between 0 and 1, while softmax is used for multi-class classification, converting input values into a probability distribution. Both are used in logistic regression to model binary or multi-class outcomes.

2. Given the unbalanced size between two groups in an AB test, can you determine if the test will result in bias towards the smaller group?

   An unbalanced sample size in an AB test can potentially lead to bias, particularly if the smaller group does not have enough power to detect a true effect. The smaller sample size may result in higher variability and less reliable results, which could skew the interpretation of the test outcomes. To mitigate this, it’s important to ensure that both groups have sufficient sample sizes to achieve the desired statistical power.

3. How would you find out if the difference between this month and the previous month in a time series dataset was significant or not?

   You can perform a statistical test such as the t-test or the Mann-Whitney U test, depending on the data distribution. These tests help assess whether the observed changes are statistically significant or could have occurred by random chance.

4. What would happen when you run logistic regression on a dataset of perfectly linearly separable data?

   When you run logistic regression on a dataset of perfectly linearly separable data, the algorithm will not converge because the maximum likelihood estimates for the coefficients will tend to infinity. This is known as the problem of “complete separation.”

5. How would you explain what a p-value is to someone who is not technical?

   A p-value is a measure used in statistics to help determine the significance of your results. It tells you how likely it is that your data would occur by random chance. A low p-value (typically less than 0.05) suggests that the observed data is unlikely to have occurred by chance, indicating that the effect or difference you are testing for is statistically significant.

6. What is the Martingale strategy and how might it be used in online advertising?

   The Martingale strategy is a betting strategy that involves doubling the bet after every loss, with the aim of recovering all previous losses and gaining a profit equal to the original stake when a win eventually occurs. In online advertising, this strategy could be applied by increasing the advertising spend after each unsuccessful campaign, with the expectation that a successful campaign will eventually offset the losses and generate a profit.

7. What are the benefits of dynamic pricing, and how can you estimate supply and demand in this context?

   Dynamic pricing offers several benefits, including maximizing profits by adjusting prices in real-time based on supply and demand fluctuations. It allows businesses to respond quickly to market changes, optimize inventory levels, and enhance customer satisfaction by offering competitive pricing. Estimating supply and demand in this context can involve analyzing historical sales data, monitoring competitor pricing, and using predictive analytics to forecast future trends.

8. How would you determine the overall impact of the integration on Prime Music subscriptions?

   You can analyze subscription data before and after the integration, looking for changes in subscription rates. Additionally, conducting A/B testing with a control group that does not have the integration could provide insights into its direct impact. Surveys and user feedback could also be valuable in understanding user satisfaction and reasons for subscription changes.

Behavioral or “Culture Fit” Questions

Behavioral or “culture fit” questions are a major part of the Amazon Business Analyst interview. These questions are designed to see how well you align with Amazon’s Leadership Principles and how you’ve handled challenges in past roles.

1. Why did you apply to our company?

   When asked why you applied to a company, it’s important to demonstrate your knowledge of the company and align your career goals with the company’s mission and values. Highlight specific aspects of the company that appeal to you, such as its culture, products, or growth opportunities, and explain how your skills and experiences make you a good fit for the role.

2. How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?

   It’s important to assess the urgency and importance of each task, possibly using a prioritization matrix like the Eisenhower Box. Staying organized can be achieved by using tools such as calendars, task lists, and project management software to keep track of deadlines and progress. Regularly reviewing and adjusting priorities as needed can also help maintain organization and ensure timely completion of tasks.

3. What is your approach to resolving conflict with co-workers or external stakeholders, particularly when you don’t really like them? Give an example of when you resolved a conflict with someone on the job.

   It’s important to maintain professionalism and focus on the issue rather than personal differences. A structured approach involves active listening, understanding the other party’s perspective, and finding common ground to reach a mutually beneficial solution. For example, if a conflict arises over project responsibilities, one might address it by organizing a meeting to discuss each party’s concerns and collaboratively agree on a fair distribution of tasks.

4. Tell me about a time when you exceeded expectations during a project. What did you do, and how did you accomplish it?

   Highlight the actions you took that led to exceeding expectations, such as implementing innovative solutions, improving efficiency, or delivering results ahead of schedule. Explain the impact of your efforts on the project’s success and any recognition you received.

5. How comfortable are you presenting your insights?

   Presenting complex data insights with clarity and adaptability is crucial, especially when tailored to a specific audience. Comfort in presenting insights often comes from understanding the audience’s needs and being able to adjust the presentation style accordingly.

Translate Metrics Into Business Impact

Practice taking raw data and explaining what it means for the business. Go beyond the numbers: ask yourself, “So what?” For example, if user engagement dropped 10%, be ready to suggest 2–3 possible reasons and how you’d investigate further. Amazon loves analysts who can connect metrics to meaningful action.

Use Amazon’s Leadership Principles as a Lens, Not a Checklist

Don’t just memorize the principles; apply them. Pick 2–3 that best match your working style (e.g., “Dive Deep” or “Deliver Results”), and reflect on your past projects through that lens. This makes your behavioral answers feel more authentic and tailored, something Amazon values.

Study Amazon’s Business Model by Vertical

Get familiar with how different Amazon businesses operate: Retail, AWS, Prime Video, and Logistics. This helps you tailor your answers with relevant examples (e.g., how you’d improve delivery times vs. subscription engagement). Bonus: It signals genuine interest in the role and company.

Role-Play Data-Driven Conversations

Amazon values how well analysts communicate with non-technical teams. Practice mock conversations where you explain data insights to a “product manager” or “stakeholder” who isn’t technical. Clear communication is often what separates a good analyst from a great one.

What Is the Average Salary for a Business Analyst Role at Amazon?

How Long Is the Amazon Business Analyst Interview Process?

The interview process typically takes around 2 to 4 weeks, depending on the role’s urgency and the team’s availability. Timelines may vary slightly based on the level of the position and how quickly each interview stage is scheduled.

What Tools Should I Know for the Amazon BA Interview?

Must-know tools include SQL and Excel, as they’re core to most of the day-to-day analysis. Experience with Python, Tableau, or AWS tools like Redshift and QuickSight can give you an edge. Prioritize tools that help you analyze, visualize, and clearly communicate insights from data.

Are There Job Postings for Amazon Business Analyst Roles on Interview Query?

Yes, Interview Query often features Amazon-specific roles with job descriptions and skill requirements.

Landing a Business Analyst role at Amazon means more than just knowing SQL or Python. It’s also about thinking like an owner, making data-driven decisions, and aligning with Amazon’s unique culture. From behavioral interviews built around Leadership Principles to hands-on technical rounds, each stage is designed to test both your analytical mindset and your ability to deliver real business impact.

Sharpen your SQL, get comfortable with tools like Excel and Python, and don’t overlook the power of clear communication. For more targeted prep, check out our blogs: SQL Business Analyst Interview Questions, Business Analyst Interview Questions, and other practice sets tailored to specific focus areas. With focused prep, you won’t just get through the interview; you’ll stand out.

“I was recently interviewed for Amazon, and I often used your community forums. I also tried out the interview guides, which helped me understand what kind of questions Amazon usually asks.” — Candidate feedback shared via Interview Query