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How to Prepare for Amazon Business Intelligence Engineer Interview

Amazon has a lot of data to work with, and Amazon loves data. The company needs people who can identify valuable data, derive meaningful insights from it, explain past trends, and help predict future ones. Cracking Amazon’s Business Intelligence Engineer (BIE) interview was never an easy task.

But with the newly added leadership principle, “Strive to be the world’s best employer on Earth,” the competition is likely to get more challenging at Amazon whether you are a coding engineer/software developer or business intelligence engineer. Read through this article to know how you can prepare for the Business Intelligence Engineer interview and put your best foot forward.

If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready! Also, read Amazon System Design Interview Questions and Amazon Phone Interview Questions for specific insights and guidance on Amazon tech interviews.

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Take a look at the topics we’ll discuss through this article::

  • What’s an Amazon Business Intelligence Engineer interview like?
  • What to expect in the Amazon Business Intelligence Engineer interview?
  • Skills examined in the Amazon Business Intelligence Engineer interview
  • 5 key tips on how to prepare for the Amazon Business Intelligence Engineer interview
  • Important topics to prepare for the Amazon Business Intelligence Engineer interview
  • Amazon Business Intelligence Engineer Interview questions
  • Books to help you prepare for the Amazon Business Intelligence Engineer interview
  • FAQs on Amazon Business Intelligence Engineer interview

What’s an Amazon Business Intelligence Engineer Interview Like? 

The format for Amazon Business Intelligence Engineer interview is relatively standard. You can expect a 30-minute phone interview with the recruiter, followed by one or two technical phone interviews, which could last for about 45 minutes each. 

Lastly, there will be an onsite interview with five to six rounds, lasting 45 to 60 minutes each, taking 8 hrs overall in one day (including lunch break). 

What to Expect in the Amazon Business Intelligence Engineer Interview?

In your Amazon Business Intelligence Engineer interview, you can expect:

  • In-depth questions related to your background, experience, and relevant projects.
  • Questions involving the reasons for your interest in that particular BIE role, in that specific team, at Amazon.
  • To be judged on your communication skills and behavioral attributes.
  • Five or more questions related to SQL, Python, data analytics, and data visualization skills.
  • Questions about edge cases, qualifying requirements, and statistics
  • An onsite interviewer to be the bar-raiser unknown to you. This bar-raiser has veto power and the responsibility to hire candidates better than at least 50% of Amazon’s workforce.

Skills Examined in the Amazon Business Intelligence Engineer Interview

For your Amazon BI Engineer interview prep, you can target developing skills Amazon examines for better performance. Here are some of them:

  • Role-related knowledge: SQL, Data Analytics, ETL tools, Data Visualization, Statistics, Python, and Tableau/Quicksight or other similar tools.
  • Experience: Do you have experience in creating and maintaining data pipelines? Do you have experience with relational and dimensional data modeling? Have you used the tools relevant to the particular role you’ve applied to before for a project?
  • Communication skills: BI Engineer role is cross-functional. So you need to communicate effectively with various professionals in different teams and levels.
  • Alignment with leadership principles: They’re hoping to see a history of demonstrating ownership, customer obsession, and other leadership principles in your experience stories.

5 Key Tips on How to Prepare for Amazon Business Intelligence Engineer Interview

Here are 5 important tips to ace your Amazon BIE interview:

  • Refine your skills at tuning SQL queries.
  • Learn how to create and maintain a pipeline and tools associated with that.
  • Work on your statistical analysis and data analytics skills.
  • Learn common role-relevant data visualization and ETL tools.
  • Present examples from your past experiences relevant to the Business Intelligence Engineer role in the situation, task, action, and result (STAR) format.

Important Topics to Prepare for the Amazon Business Intelligence Engineer Interview

See below some of the key topics you should prepare for before your Amazon BI engineer interview: 

  1. SQL: Joins, lead, lag, finding outliers, pivoting, duplicate rows, sub-query, windows, group by having, where, and aggregate.
  2. Data+BI: Data analytics, data visualization, statistics, product sense, and data science.
  3. Python: Usually questions of up to Medium level difficulty. Some past questions include the usage of lists, Fibonacci, and palindromes.
  4. Behavior: Why Amazon? Why BIE? Why this particular BIE team at Amazon? Talk about one of your past major challenges and how you faced them. Other areas of interest include root cause analysis, instances of showing ownership, customer obsession, and alignment with other leadership principles.

Amazon Business Intelligence Engineer Interview Questions

Some past Amazon BI Engineer interview questions include:

  • How would you simplify a complex pipeline?
  • Explain all types of joins in SQL.
  • When would you use ELT over ETL, and Why?
  • What is the difference between union and union all? Which one is faster?
  • What are DML, DCL, and DDL?
  • Tell me about a time when you significantly exceeded expectations.
  • If the report is running slowly, how would you handle it?
  • Write Python code to get the largest palindrome product of two numbers whose digit size isn’t fixed and varies.

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 (Author)
  • Business Intelligence, Analytics, and Data Science: A Managerial Perspective by Ramesh Sharda (Author), Dursun Delen (Author), Efraim Turban (Author)
  • Business Intelligence Guidebook: From Data Integration to Analytics by Rick Sherman (Author)
  • Power BI - Business Intelligence Clinic: Create and Learn by Roger F. Silva (Author)
  • Delivering Business Intelligence with Microsoft SQL Server 2016, by Brian Larson (Author)
  • Successful Business Intelligence: Unlock the Value of BI & Big Data by Cindi Howson (Author)
  • 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  (Author), Christian Wade (Foreword)
  • Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau, by Marleen Meier (Author), David Baldwin (Author), Kate Strachnyi (Foreword)

FAQs on Amazon Business Intelligence Engineer interview

Q. What not to expect when applying for the BIE role at Amazon?

Don’t expect:

  • A long delay after your onsite interview. (You will most likely get the results after one working day.)
  • That behavioral interview questions won’t be of significant importance. (Alignment with Amazon’s leadership principles and clearing the behavioral interview is crucial to your selection.)
  • A significant number of difficult technical questions. (Almost all technical questions will be up to medium difficulty questions.)

Q. Where to prepare for the Amazon Business Intelligence Engineer interview?

If you need help with your prep, consider joining Interview Kickstart’s Data Engineering Interview Masterclass — the first-of-its-kind, domain-specific tech interview prep program designed specifically for Data Engineers. Click here to learn more about the program. 

IK is the gold standard in tech interview prep. Our programs include a comprehensive curriculum, unmatched teaching methods, FAANG+ instructors, and career coaching to help you nail your next tech interview. 

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