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Amazon Business Intelligence Engineer Interview

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Amazon Business Intelligence Engineer Interview Questions

The Amazon Business Intelligence Engineer Interview
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Anonymous Interview Candidate in Seattle, WA

I applied through an employee referral. I interviewed at Amazon in Mar 2020

InterviewInterview Questions

  • probability of the product coming from location A is 0.8 and from location B is 0.6. What is the probability the customers will receive the product from location A or location B SQL – tested on different join , lead , lag, pivoting in sql , sub query, group by having, where, aggregate and think about how you would find outliers)

Business Intelligence Interview Questions: Basic Level

1. What is Business Intelligence?

Business Intelligence can be understood as a combination of Data Analytics and the processes of data collection, data storage and data management. The aim of Business Intelligence is to evaluate and convert raw data and information into actionable and meaningful insights. These insights have a positive impact on the different kinds of business decisions of the organization. In simplest terms, a Business Intelligence definition would refer to an umbrella which covers data tools, data visualization, data mining, infrastructure, data analytics and so on, in order to provide easy and understandable summaries which could help organizations to take decisions which are data-driven.

2. Name some of the prominent Business Intelligence tools.

Some of the popular BI tools include:

If you wish to read more about these Business Intelligence tools, refer to our blog on âTop 10 Business Intelligence Toolsâ

3. What is a universe in Business Analytics?

Universe can be understood as the semantic layer between the user interface and the database. It is actually the interfacing layer between the client and the data warehouse. It helps in defining the relationship between different tables in a data warehouse.

4. What are the steps in a Business Intelligence process?

This is one of the classical Business Intelligence Interview Questions

5. What is Data Warehousing?

6. What are some the features of a Data Warehouse?

7. What are aggregates?

Electric Scooters Trends And Statistics

In many countries including the U.S., Canada, Mexico, U.K., Germany, France, China, Japan, India, Brazil and Mexico and more, a growing number of eScooter users both locals and tourists can now be seen effortlessly passing lines of drivers stuck in the endless and unmoving traffic.

A recent report by McKinsey revealed that the E-Scooter industry will be worth $200 billion to $300 billion in the United States, $100 billion to $150 billion in Europe, and $30 billion to $50 billion in China in 2030. The e-Scooter revenue model will also spike and is projected to rise by more than 20% amounting to approximately $5 billion.

And, with a necessity to move people away from high carbon prints, traffic and congestion issues brought about by car-centric transport systems in cities, more and more city planners are developing more bike/scooter lanes and adopting zero-emission plans. This is the force behind the booming electric scooter market and the numbers will only go higher and higher.

Companies that have taken advantage of the growing eScooter trend develop an appthat allows them to provide efficient eScooter services. Such an app enables them to be able to locate bike pick-up and drop points through fully integrated google maps.

Recommended Reading: How To Do A Successful Interview

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Q2 What Challenges Did You Face While Exploring A Data Science Role

Amazon Software Development Engineer ~ sugarboodesign

I wanted to talk about this. As an undergraduate, I must tell you, it is really, really, really difficult to get a data science role, because when it comes to that, companies expect either a masters degree or experience in the same field.

So being an undergraduate, it was really tough to find a role in data science. Basically may it be data analysts, data science, machine learning or anything, experience and a higher degree matter.

But yeah, I consider myself lucky, when a company like Amazon visited college for the same and I cracked it in one go like, it was the only shot that I had. So the most difficult thing while exploring the data science role was the experience part.

Read Also: What Do They Ask You At Job Interviews

Amazon Bi Engineer Career Path

Theres no one size fits all for the BI engineer career path, you could be in the field of data science and find the BI engineer role more interesting, that said the usual typical roles that stream into the BI engineer role are the following,

  • Business analyst
  • Technical specialist

With that being said, its still very possible to receive an offer for a BI engineer role without having one of the above previous roles on your resume. If you believe youll struggle with your coding interview, we recommend practicing on our dynamic coding platform.

Some of the more common career paths after one becomes a BI engineer are the following,

  • Product manager
  • Software engineer

It really just depends on your exposure and what types of projects you work on. Weve heard feedback from AWS BI engineers that at times it can be difficult to know what the right career path is since theyre working on such a wide variety of technical projects.

The Role Of An Amazon Business Intelligence Engineer

As a Business Intelligence Engineer at Amazon, you work alongside Data Scientists, Data Engineers, business leaders, and product managers. You will help them design innovative analysis techniques and work on improving data warehouse performance to enhance the customer experience.

Business Intelligence engineers hold the responsibility of smartly analyzing data. They are required to perform functions ranging from Automated Inventory Management to Transportation Risk & Compliance. With great responsibility comes the need for greater knowledge, and therefore, they must have good business acumen and be up to date with the growing technologies in data science.

A Business Intelligence Engineer at Amazon must possess the following qualities –

  • They must be analytical, combined with knowledge of Data Warehousing and Business Intelligence tools.
  • Ability to design and demonstrate optimal solutions using tools like JIRA, QlikSense, and Tableau that cater to the needs of the customer.
  • Be able to work in a fast-paced environment and keep up with the growing demands of the customer.
  • Additionally, Amazon looks for people who live by the 14 leadership skills every day.

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Bi Analyst Interview Questions And Answers 2021

Why you should prepare for BI analyst interview questions?

So, youve got an interview for a BI analyst role coming soon. Congratulations! As businesses strive to maximize the benefits of their data, the demand for BI analysts is massiveBut so is the competition.

We know that preparing for a BI analyst interview can be a bit overwhelming, especially if youre just starting your career. So, to help you find your way through the BI interview maze, we created this article. Heres what youll discover:

  • How to prepare for the BI analyst interview
  • What questions you can expect to be asked .
  • How the BI interview process goes in 3 real major companies.

Finally, well share some tips on how to make your BI analyst interview performance mistake-free.

Q4 What Was The Interview Experience At Your Current Company

Interview: Amazon Business Intelligence Engineer (From Semiconductor industry to Amazon)

So, while interviewing at Amazon, there were a total of 3 rounds, two technical and the third one is called the bar raisers round. So if I talk about the first technical round, it was full of Python and SQL and a little bit of relational databases related questions.

They were expecting a little bit of knowledge about DBMS, Python in depth and a little bit of SQL.

Then in the second interview, it revolved around the visualization part. They asked me about all the charts that can be used in a real world scenario, how can we draw them in Tableau? What are their real world significance like line plot, scatter plot, bar plot, pie chart, etc.

Then they also gave some case studies to solve real world problems. The interviewer gave me some data and asked me to provide a matrix for this data at that particular moment.

Then in the third round, the bar is a round with a very professionally experienced person who comes in and takes the interview. It is more like an HR round. It is not a technical interview exactly.

They asked you how you would help the company and what makes you different from other people?

They basically discuss one of your projects, whichever you want, and then ask you what you did in this project uniquely, that others would not have had and basically the BR round is an easy one.

If you know the answers to their questions. They dont talk about technical stuff, they talk about how you would help Amazon grow and how you are different from others.

Read Also: Open-ended Interview Questions For Managers

Technical Bi Analyst Interview Questions

5. Which data modeling software do you prefer to use?

How to Answer

BI analysts mostly use Microsoft Excel or Power BI for their data modeling needs. The required or preferred tools will be most probably listed in the companys job description, so it would be best to refer to those. If you have relevant experience, share your level of expertise with the interviewer. In case you lack exposure to their preferred software or programs, explain how you can incorporate your skills into their systems.

Answer Example

I do most of my data modeling in Excel, as I find it most convenient for data mapping. I have some exposure to Power BI, as well. However, I believe I can benefit from sharpening my skills in that program. Thats why Im currently taking a Power BI online training.

6. What specific technical skills do you have as a BI analyst?

How to Answer

Your BI analyst experience and skillset are closely related to the focus of your career. Depending on whether you are a data BI analyst, an IT BI analyst, or a strategic BI analyst, your answer to this question will be different.

Answer Example

As a data BI analyst, Ive been exposed to data mining and big data software, such as LIONsolver and Oracle. Im highly skilled in Microsoft Excel which I use for data modeling and Power BI where I create rich visuals and client presentations.

7. Specify two important chart types in your BI analyst arsenal. Why do you find them important?

How to Answer
  • waterfall charts.
Answer Example

What Does Amazon Seek In Business Intelligence Engineer Candidates

Amazon seeks professionals who can identify valuable data and analyze it well within a limited time, to provide crucial data-driven insights and solutions. Technically, someone with statistical and data modeling skills who knows their data analytics tools and how to use them would be preferred.

Behaviorally, Amazon actively seeks candidates who are aligned well with Amazonâs leadership principles.

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How Archit Got Placed At Amazon As A Business Intelligence Engineer

Today in our Success Story blog, we introduce you to Archit Jain who is a Business Intelligence Engineer at Amazon and is a part of the GCD, 2021 batch at INSAID. He shares his journey of achieving success and landing a career in the Data Science industry. Get to know more about him as he guides us through this amazing process.

Watch his interview right here

Bi Engineering Interview Star Framework

Amazon SQL Interview Questions

The Amazon BI interview process is designed to learn candidates ability to leverage data warehouse information and advanced analytics tools to turn data into meaningful information that can be used to make sound business decisions. This interview combines various data science theories, and it tests the depth of your domain knowledge as it applies to real-life situations.

Brush up on your knowledge of statistics and probability, SQL and ETL processes, and Business Intelligence solution platforms, such as Tableau, MicroDesktop, SQL SSIS, and AWS.

Also, note that Amazon asks situation-based questions, and it will help form your responses around the STAR format. It will also help to be familiar with Amazons 14 leadership principles and have a story based around these leadership principles.

STAR stands for:

  • Situation. What was the situation you or your previous employer faced?
  • Task. What tasks were involved?
  • Action. What actions did you take?
  • Results. What were the results of those actions?

Heres an example, recently featured in The Guardian, of what it sounds like when applying the STAR Method in the interview:

Situation: A customer rang up complaining that theyd waited more than two weeks for a reply from our sales team regarding a product query.

Task: I needed to address the clients immediate query and find out what went wrong in the normal process.

Result: The client not only continued to order from us but posted a positive customer service tweet.

Also Check: Infrastructure Project Manager Interview Questions

Amazon Business Intelligence Engineer Behavioral Interview Questions

  • Talk about a time when you worked on something that wasnât a part of your regular job.
  • How would you predict if a newly launched product will grow or fail?
  • Talk about a time when you used data to decide and solve a problem.
  • Whatâs the most difficult problem youâve worked on till now?
  • If a product is not growing, how will find the factors impacting it?
  • Talk about a time when you significantly exceeded expectations.
  • Talk about a time you committed to a deadline and couldnât finish, how did you communicate this to your clients?
  • Talk about a time when you had a different viewpoint than the whole team.
  • What variables would you consider for predicting the demand for a product?
  • Talk about a time when you suggested a greatly successful solution.
  • What was the best moment of your career?
  • Talk about a time when you delivered a project under a tight deadline.
  • Talk about a time when you took a decision without consulting or getting your managerâs approval.
  • You have the product sale information on a shopping website, how would you decide which product to cut the price of to improve sales?

Amazon Business Intelligence Engineer Interview Case Study

It was June 2020. Lisa had just graduated a month ago and was still enjoying her break.

She studied statistics from a California state university and was going to join a startup in SF as a data scientist.

One week before her original start date, she got a call from the startups HR, who told her, unfortunately, due to Covid, their budget was cut, and her role got canceled.

It was a rather frustrating experience, to say at least, let alone it was meant to be Lisas first job, and she had never experienced anything like that in her life.

Feeling embarrassed, Lisa kept her head down for about a month. Then, towards the end of August, she decided to get herself up and give the job search another try.

In the next six months, she applied for hundreds of jobs, talked to many companies, got into several final rounds of interviews, but still no offer.

She didnt stop. Instead of just sitting there, she went to the internet, tried her best to learn whats needed to land a job, and reached out to us at instamentor through a friend.

And today, its our great pleasure to announce that, after a couple of months of preparations, mock interviewing, and relentless practicing, Lisa has just landed a great job offer at Amazon.

And she is going to start in 2 weeks as an entry-level Business Intelligence Engineer.

This time, she decides no more long break before her job starts.

We think that is a very smart decision .


Read Also: How To Say Thank You For The Interview

Books To Help You Prepare For The Amazon Business Intelligence Engineer Interview

Some additional reading can give you an edge during your interview. Here are some top-rated books you might want to read to increase your depth of knowledge and confidence for the interview:

  • Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic
  • Business Intelligence, Analytics, and Data Science: A Managerial Perspective by Ramesh Sharda , Dursun Delen , Efraim Turban
  • Business Intelligence Guidebook: From Data Integration to Analytics by Rick Sherman
  • Power BI – Business Intelligence Clinic: Create and Learn by Roger F. Silva
  • Delivering Business Intelligence with Microsoft SQL Server 2016, by Brian Larson
  • Successful Business Intelligence: Unlock the Value of BI & Big Data by Cindi Howson
  • Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs by Soheil Bakhshi , Christian Wade
  • Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau, by Marleen Meier , David Baldwin , Kate Strachnyi

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