Register Now

Login

Lost Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Login

Register Now

It will take less than 1 minute to register for lifetime. Bonus Tip - We don't send OTP to your email id Make Sure to use your own email id for free books and giveaways

Amazon Business Intelligence Engineer Interview Questions

Amazon Business Intelligence Engineer Interview Questions
The Analytics domain is a very rapidly developing domain and there is an ever-growing job opportunity in this domain. We will keep everything short and simple.
Amazon Business Intelligence Engineer Interview Questions

Target job roles – Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data Engineer

Target Companies – FAANG and only product-based companies

CTC offered –
12 to 20 LPA for Level 1 (0 to 4 YOE)
20 to 35 LPA for Level 2 (Senior level – 4 to 7 YOE )
35 to 50 LPA for Level 3 (Team Lead or Manager – 7 to 9 YOE)
50 to 80 LPA for Level 4 (Manager or Senior Manager – 9 to 12 YOE)


Tools and Technologies required
SQL – 9/10
Python – 7/10
Visualization tool (Power BI or Tableau) – Good to have
Machine Learning Algorithm – Expert in at least a couple of algorithms (if going for Data Science role)

Why The Data Monk?

We are a group of 30+ people with ~8 years of Analytics experience in product-based companies. We take interviews on a daily basis for our organization and we very well know what is asked in the interviews.
Other skill enhancer website charge 2lakh+ GST for courses ranging from 10 to 15 months.

We only focus on making you a clear interview with ease. We have released our Become a Full Stack Analytics Professional for anyone in 2nd year of graduation to 8-10 YOE. This book contains 23 topics and each topic is divided into 50/100/200/250 questions and answers. Pick the book and read it thrice, learn it, and appear in the interview.

We also have a complete Analytics interview package
2200 questions ebook (Rs.1999) + 23 ebook bundle for Data Science and Analyst role (Rs.1999)
4 one-hour mock interviews, every Saturday (top mate – Rs.1000 per interview)
4 career guidance sessions, 30 mins each on every Sunday (top mate – Rs.500 per session)
Resume review and improvement (Top mate – Rs.500 per review)

Total cost – Rs.10500
Discounted price – Rs. 9000


How to avail of this offer?
Send a mail to [email protected]

Amazon Business Intelligence Engineer Interview Questions

Company – Amazon
Designation – Business Intelligence Engineer
Year of Experience required – 2 to 5 years
Technical expertise – SQL, Python, 14 Amazon principle
Salary offered –
Base is 16-18lpa
Joining bonus 4-6 lacs
RSU 8-12lacs.

Number of Rounds – It depends on your team, could be 5 rounds or 7 rounds. In Amazon we have a lot of rounds and each round have questions on SQL, Python, and Case Study. So we have clubbed the questions.

Amazon SQL Interview Questions

Q1. Suppose there is a Movie Theatre with 26 rows(A,B,C..Z) and in each row you have 6 seats. The structure of the table is given below

DateRow_NoSeat_NoOccupiedName
04-Apr-20AA1YesKuchi Bhi
04-Apr-20AA2YesKuchi Bhi
04-Apr-20AA3No
04-Apr-20AA4No
04-Apr-20AA5No
04-Apr-20AA6No
04-Apr-20BB1YesKuchi Bhi
04-Apr-20BB2No
04-Apr-20BB3No
04-Apr-20BB4YesKuch Bhi
04-Apr-20BB5No
04-Apr-20BB6YesKuchi Bhi
Table Name – PVR

First, let me know all the starting seats where the number of consecutive vacant seats is 2 (B2 here)
Secondly, write a generalized approach to solve for any number of vacant seats. Basically, you need to create a table with two columns,
1. Seat_No
2. Number of consecutive vacant seats

Q2. There are multiple ways to get the 3rd highest salary, write down at least three. This question is important because the moment you tell the interviewer the first way, he/she will ask to solve the same in any other way

Hint –
1. Naive Approach
2. Inner Query
3. Ranking


Q3. I don’t remember any interview which doesn’t have this question

Table ATable B
11
11
11
1
1

There are two tables, the column name in Table A is X and in Table B is Y

How many rows will the resultant have, if you do:-
a. inner join
b. left join
c. right join
d. outer join
e. cross join

Justify your answer

Q4. I own 5 restaurants in Bangalore, following is the table of business, get me the date on which each of these restaurants crossed a total revenue of Rs.10,000

RestaurantDateRevenue
Bangalore Mandrian01/04/205000
Bangalore Mandrian02/04/204000
Bangalore Mandrian03/04/203000
Bangalore Mandrian04/04/206000
Boondock Bistro01/04/207000
Boondock Bistro02/04/203000
Boondock Bistro03/04/205000
Oliver’s02/04/2011000
Oliver’s03/04/208000
Oliver’s04/04/209000
Whitefield Social02/04/2010000
Punjabi By Nature03/04/208000

Q5. There is a table with employee and manager information, the schema is given below. Write a query to get the EmployeeName and ManagerName.

IdEmployee NameManager Id
1Sachin3
2Sehwag3
3Dhoni
4Kohli1
5Sharma1

Hint – Consider the edge cases, i.e. your query should cater to the Manager Name of the CEO as well. In the above example, Dhoni is the CEO, so he has no manager id associated with

Amazon Case Study Interview Questions

At Amazon you are asked two types of case studies:-
1. KPIs for some random product based companies
2. KPIs for domains like Pharma, Data platform, Digital Analytics
3. Amazon’s 14 Leadership principles – This is very important as its a bit complicated to understand the principles and hard to come up with real example.

Case study asked
– Derive top 10 KPIs for Amazon

The KPIs shared by the candidate

Sales: Amazon tracks its sales revenue as a measure of overall financial performance.
Gross Margin: Amazon tracks the difference between its revenue and cost of goods sold to measure profitability.
Net Promoter Score (NPS): Amazon measures customer satisfaction through the Net Promoter Score, which measures how likely customers are to recommend the company to others.
Customer Acquisition Cost (CAC): Amazon tracks how much it costs to acquire a new customer to measure the efficiency of its marketing and advertising efforts.
Customer Retention Rate: Amazon tracks the percentage of customers that make repeat purchases to measure customer loyalty.
Order Fulfillment Rate: Amazon tracks the percentage of orders that are fulfilled on time to measure the efficiency of its logistics and supply chain operations.
Inventory Turnover: Amazon tracks the number of times its inventory is sold and replaced over a certain period to measure efficiency in inventory management.
Logistics and Delivery Performance: Amazon tracks the performance of its logistics and delivery network, including delivery times, package tracking, and customer satisfaction.
Website Traffic: Amazon tracks the number of visitors to its website to measure the effectiveness of its digital marketing efforts.
Return Rate: Amazon tracks the percentage of products that are returned by customers to measure the quality of its products and customer satisfaction.


a. Earn Trust (Amazon’s principle)
Tell me the last time you earned trust with your last client. Why was there a trust issue and how did you resolve?

There was some trust issue with the Client, they were not sure of our analytical capabilities and we were monitored by their Analytics consultant. We took this as an opportunity, did cross team sessions and hands-on exercises to build capability

b. Frugality (Amazon’s principle)
Tell me one time when you tried something out of your own personal time and solved a very small but regular problem.

In my last organization people used to misplace their Key fobs once they were in their notice period. So, i created a simple tracking Excel sheet which resulted in less number of Key fobs misplacement

c. Hire and Develop the Best (Amazon’s principle)
Do you hire the best or do you hire and develop the best?
Tell me one instance when you realize that a person in your team is not the best fit for the role. What did you do?

I once had a person to whom I was giving KT in my last organization, he was not able to grasp some concepts. What I did? I made extensive documentation and videos of the complete process of KT, advised him a couple of courses on internet. The output – He was able to pick up things very quickly and was able to deliver everything at a much better speed.

d. Think Big (Amazon’s principle)
Tell me one instance when you thought of a big opportunity, pressed for it and delivered something beautifully

I once had the courage to talk the client of a BIG MNC about the fault in their web home page. There was an issue of cannibalization of lower pages. I worked individually on the project to justify the issue and presented with a different design

Solved 100 most asked Case Study and Guesstimate questions for Analytics role

Amazon Big Data and Python Interview Questions

There were a few questions on Big Data Technologies you have worked on and a few on Python:

1. What is the tech stack you have worked on?

2. What are the type of databases?

Hierarchical databases.
Network databases.
Object-oriented databases.
Relational databases.
NoSQL databases.

3. Do Presto stores data?

Presto is an open-source, distributed SQL query engine designed for fast, interactive queries on data in HDFS, and others. Unlike Hadoop/HDFS, it does not have its own storage system.

4. What are the components of Hadoop?

Following are the main component of Hadoop:-

  • Hadoop HDFS – Storage unit of Hadoop
  • Hadoop Map Reduce – Processing unit of Hadoop
  • Hadoop YARN – Yet Another Resource Negotiator – It is a resource management unit of Hadoop

Master – Namenode (Contains metadata)
Slave – Datanode(Contains data)

YARN and MApReduce divides the resources and assign tasks to the unit

5. What is the difference between OLAP and OLTP?

OLTP and OLAP: The two terms look similar but refer to different kinds of systems. Online transaction processing (OLTP) captures, stores, and processes data from transactions in real time. Online analytical processing (OLAP) uses complex queries to analyze aggregated historical data from OLTP systems.

6. Is Hadoop OLTP or OLAP?

Hadoop is an OLAP. Hadoop is neither OLAP nor OLTP. All above are true statements. Since we use Hadoop to process the analysis of big data & this is done by batch wise on historical data which is loaded in the HDFS (Hadoop distributed file system)

In Python the questions were mostly around simple patterns and Pandas. Go through code for Armstrong, PAlindrom, reversal of string, difference between mutable and immutable data type.

The overall procedure took around 20 days and the offer letter was rolled out after 7 days of final round.

Thanks !!

We have also collated all these real interview questions from 50+ companies in our book 2200+ Most Asked Analytics interview Questions(with Answers)

The Data Monk Product and Services

  1. Youtube Channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions
    Link – The Data E-shop Page
  4. Mock Interviews
    Book a slot on Top Mate
  5. Career Guidance/Mentorship
    Book a slot on Top Mate
  6. Resume-making and review
    Book a slot on Top Mate 

The Data Monk e-book Bundle 

1.For Fresher to 7 Years of Experience
2000+ interview questions on 12 ML Algorithm,AWS, PCA, Data Preprocessing, Python, Numpy, Pandas, and 100s of case studies

2. For Fresher to 1-3 Years of Experience
Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization

3.For 2-5 Years of Experience
1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-M

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

Follow Me