Amazon Business Intelligence Engineer (BIE) Interview Guide
Learn how to prepare for the Amazon Data Scientist interview and get a job at Amazon with this in-depth guide.It's no secret that Amazon is one of the largest companies in the world. Even during the worst of COVID-19, they (briefly) achieved a TRILLION-dollar market capitalization and have grown to over one million employees. It's a complex business featuring dozens of departments, countless teams, and seemingly infinite data. Who analyzes this mountain of information, discovering critical insights driving the biggest decisions? Amazon's Business Intelligence Engineers, or BIEs for short.
Amazon's BIEs design and build out the many analytics, essential KPIs, and data pipelines while also drafting reports, data dashboards, and visualizations. BIE positions require a significant grasp of statistics, data warehousing, and the Extract, Transform, Load data copying procedure. As is often the case with data analytics positions, proficiency in SQL is required of Amazon Business Intelligence Engineers.
Are you looking to join Amazon's ranks as a Business Intelligence Engineer? Let's go ahead and take a closer look at the interview process for BIEs.
Interview Process
Similar to other technical interview loops at Amazon, the BIE interview generally consists of two phone interviews followed by an on-site round.
Phone Screen
The first step in the BIE interview process is an initial discovery screening. Most offen this will be with a recruiter, but you may also have an additional screening with a team member or hiring manager - this seems to differ among locations. The focus of this call is primarily to gauge whether you would be a good fit. You can expect basic questions focused on past work experience. Make sure to prepare by reviewing your resume closely, as you'll probably be asked to elaborate on some key points. Most importantly, your interviewer will allow you to detail the reasons why you want to join the specific team you applied to. Ultimately, you'll need to provide an answer impressive enough that they forward you to the next stage.
Technical Screen
Afterward, you'll be asked to complete a live technical screening to test your skills in SQL and Python. This won't be the last technical round, but it's meant to test your basic technical prerequisites. You should be prepared to answer at least five SQL, Python, data visualization, and/or business analytics questions. In preparing for this round, practice presentation skills and business acumen - it's just as important to communicate actionable recommendations to your interviewers as it is to code well. Demonstrate your ability to leverage corporate data to make insightful business decisions, and you'll have a good shot of advancing.
On-Site
The on-site consists of 5-6 individual rounds with business intelligence engineers, data scientists, and a hiring manager. Each will last 45 minutes to 1 hour. Expect more in-depth questions and be prepared to provide details. In many ways, the on-site is practically an expanded and more substantive screening. Given the length and number of the interview rounds, you may be wondering what the daily schedule would look like. Usually, the interviews begin around 10 AM and last until 4 PM, with an hour lunch break in between.
You will be asked numerous questions spanning both data science and business analytics during your meetings with BIEs and data scientists. You'll be asked questions about qualifying requirements, checking edge cases, and expected to complete whiteboarding problems with the BIEs and data scientists. Many of the questions will be based on real business problems that Amazon has faced in the past, so study Amazon's structure and history beforehand. Aspiring BIEs also must be prepared for the inevitable series of behavioral questions characteristic of an Amazon interview. These questions, especially, will be highly focused on Amazon's Leadership Principles. Reviewing these are an absolute must for any aspiring Amazon employee. Like the initial technical screen, you'll be asked a series of statistics, SQL, and other data science questions by the Business Intelligence Engineers. Your interviews with the data scientists will also consist of statistics and data science questions. They will also include questions about more general data science concepts.
You'll meet with several Amazon employees during your on-site interview. Each interviewer has an equal say in the final hiring decision, except for the designated "bar raiser." These have a unique veto power, capable of rejecting an otherwise solid interview. The other interviewers will be focused on your particular fit to the role in question, but not the bar raiser. - he or she is focused on your fit at the company. Jeff Bezos is notorious for his love of the word "relentless" and it's expected that each hire should be shown up by the next. The "bar raisers" in these interviews are literally gauging whether you meet this standard. To avoid the dreaded veto, candidates will need to demonstrate to their bar raiser that their standards are higher than at least 50% of employees. The interview committee won't make you wait for long after you complete your interviews. You will hear back from them in 24 hours.
Sample Interview Questions
Amazon's behavioral questions assess fit with their (many) leadership principles.
Customer Obsession
Leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. Although leaders pay attention to competitors, they obsess over customers.
- Tell me about a time when you declined a customer requirement.
- Tell me about a time when a customer gave you critical feedback.
- Tell me about a time when you developed something for a customer that they did not ask for.
Ownership
Leaders are owners. They think long term and don’t sacrifice long-term value for short-term results. They act on behalf of the entire company, beyond just their own team. They never say “that’s not my job."
- Tell me about a time when you worked on a project outside of your scope.
- Tell me about a time when you had to leave a task unfinished.
Invent and Simplify
Leaders expect and require innovation and invention from their teams and always find ways to simplify. They are externally aware, look for new ideas from everywhere, and are not limited by “not invented here." As we do new things, we accept that we may be misunderstood for long periods of time.
- Tell me about the most innovative project you worked on, why it was innovative, and what the challenges were.
- Tell me about a time when you gave a simple solution to a complex problem.
Are Right, A Lot
Leaders are right a lot. They have strong judgment and good instincts. They seek diverse perspectives and work to disconfirm their beliefs.
- Tell me about a time where you made a decision without having complete information.
- Tell me about a time you made a design decision where a lot of people had opposed you. Why did they oppose you?
- Tell me about a time you made a design decision where a lot of people had agreed with you. Why did they agree with you?
Learn and Be Curious
Leaders are never done learning and always seek to improve themselves. They are curious about new possibilities and act to explore them.
- Tell me about a skill you recently learned. How did you learn it?
- Tell me about an experience you went through that changed your way of thinking.
Hire and Develop the Best
Leaders raise the performance bar with every hire and promotion. They recognize exceptional talent and willingly move them throughout the organization. Leaders develop leaders and take seriously their role in coaching others. We work on behalf of our people to invent mechanisms for development like Career Choice.
Note: This leadership is less frequently touched upon in the interview.
- Tell me about a time when one of your team members had difficulty doing a project. What did you do?
- Who is the most important person in your life and why?
Insist on Highest Standards
Leaders have relentlessly high standards — many people may think these standards are unreasonably high. Leaders are continually raising the bar and drive their teams to deliver high-quality products, services, and processes. Leaders ensure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- Tell me about a time when everything was going well on a project, yet you worked on an improvement that no one had asked for. What was the improvement? Why did you think it was important? How would you measure success?
- Tell me about a time when you raised the bar.
Think Big
Thinking small is a self-fulfilling prophecy. Leaders create and communicate a bold direction that inspires results. They think differently and look around corners for ways to serve customers.
- Tell me about a time when you initiated work on a project that both impacted a majority of your team and had a lot of opposition.
- Tell me about a time when you had to make a bold and difficult decision.
Bias for Action
Speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- Tell me about a time when you had a conflict and you had multiple ways to resolve it. How did you evaluate your options? Which solution did you choose and why?
- Tell me about a time when you made a decision too quickly and what you would have done differently.
Frugality
Accomplish more with less. Constraints breed resourcefulness, self-sufficiency, and invention. There are no extra points for growing headcount, budget size, or fixed expense.
Note: This leadership is less frequently touched upon in the interview.
- Tell me about a time when you had to work with limited time or resources.
- Tell me about a time where you turned down more resources to complete an assignment.
Earn Trust
Leaders listen attentively, speak candidly, and treat others respectfully. They are vocally self-critical, even when doing so is awkward or embarrassing. Leaders do not believe their or their team’s body odor smells of perfume. They benchmark themselves and their teams against the best.
- How do you earn the trust of stakeholders?
- Tell me about a time when you made a mistake.
- Tell me about a time when you worked on a project that got delayed. How did you handle it? Once you know it would be delayed, explain the actions you took afterwards.
Dive Deep
Leaders operate at all levels, stay connected to the details, audit frequently, and are skeptical when metrics and anecdotes differ. No task is beneath them.
- Tell me about a time when you had a problem and you had to go through several hoops to discover the root cause.
- Tell me about a time when you had a problem yet no one was willing to investigate since they thought it was outside their scope of ownership.
Have Backbone
Leaders are obligated to respectfully challenge decisions when they disagree, even when doing so is uncomfortable or exhausting. Leaders have conviction and are tenacious. They do not compromise for the sake of social cohesion. Once a decision is determined, they commit wholly.
- Tell me about a time when an idea you proposed was not agreed on. How did you react?
- What do you believe that no one else does?
Deliver Results
Leaders focus on the key inputs for their business and deliver them with the right quality and in a timely fashion. Despite setbacks, they rise to the occasion and never settle.
- Tell me about your proudest project.
- Tell me about a time when everyone else on your team gave up on something but you pushed the team towards delivering a result.
Miscellaneous
When Exponent spoke with a few folks who interviewed for the Amazon non-tech PM role, some had reported that they also encountered the following questions
- How do you prioritize requests from multiple stakeholders?
- What are your favorite and second most favorite leadership principles?
- Which leadership principle do you least resonate with?
Hiring Decision
Once your on-site is over, the committee will convene. The main thing they will be discussing is how well you reflected Amazon's leadership principles. Each of the interviewers you meet with will be delegated 2-3 leadership principles to evaluate in-depth. Depending on the answers you give, these interviewers may raise red flags to their colleagues. A job offer is increasingly unlikely if too many conflicts between your answers and the leadership principles is found. For example, let's suppose you gave an example of working on a strategic project. It would send a negative signal for the "customer obsession" principle if you devised your approach based on the competition rather than the customer.
If you ace all your interview questions without raising any leadership principle red flags and you escape the bar-raiser veto, you have a good chance of receiving an offer. If so, great work! This hiring decision is made within 24 hours, after which you'll receive a phone call from a hiring manager. Here you'll have a final opportunity to discuss your job expectations and your salary. There are other possible scenarios if the interviewers didn't think it was a good fit beyond a simple rejection. If your interview was strong enough to impress, other hiring managers from different Amazon teams may want to meet with you. They may find a good fit for you on their teams instead.
Tips and Strategies
Technical Drills
Amazon's Business Intelligence teams are very technical given the emphasis on data analytics. Aspiring BIEs should prepare for the numerous technical questions they'll be asked during their interviews. You should be capable of answering questions on the optimization of queries based on many different data modeling concepts. Your interviewers will have you writing SQL frequently, along with many questions about edge cases. Be sure to study up the ways to simplify complex queries.
Practice designing analytics and data visualizations for the relevant stakeholders. This is especially true for building data dashboards using tools like QuickSight or Tableau, drafting statistical reports, and establishing the KPIs that best measure Amazon's success. Amazon has stated that the company does not have any hard preferences in terms of specific visualization tools you use. They are more interested in the thought process and problem-solving approaches the BIE candidates bring to the table.
During your interviews, you'll need to be sure to adequately demonstrate these problem-solving skills through your data analysis, chosen statistical methods, or even A/B testing. You'll need to show off your ability to translate the ambiguous problems facing Amazon into concrete requirements while pulling actionable insights from these data sets. Prepare to answer questions about data warehousing and the ETL procedure.
Ask Plenty of Questions
Be sure to ask plenty of questions during the interview process, especially in the initial phone screenings with the recruiter and hiring manager. Ask them what skills are the most relevant and necessary for the particular BIE team you're applying to. For instance, they may say that the team has emphasized statistics skills. Others may require past experience and proficiency with data warehousing and copying procedures. Keep in mind that something like experience with scripting languages, for example, is desired by some teams while irrelevant to others. Regardless, every aspiring Business Intelligence Engineer will need experience with SQL, data visualization, and business analytics.
Make Use of the Whiteboard
Throughout the interview process, you'll have the opportunity to use a whiteboard. Whether it be with a real whiteboard or a code-sharing link, whiteboarding is an excellent way for your interviewer to learn about your thought-process.
When solving your technical questions, be sure to write a list of requirements on the board, always asking your interviewer more questions. Before going further, these requirements should be written out.
Keep digging for additional clarification from your interviewer. None of them will be actively trying to trick or deceive you, but these questions may initially be vague or abstract. The vagueness requires candidates to ask more questions and think creatively.
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