Amazon Business Intelligence Engineer Interview Questions, Process, and Tips

Q1. Write a query to get first order for every customer in the year 2021
Ans. 
Query to retrieve the first order for each customer in 2021
• Use a subquery to find the minimum order date for each customer in 2021

• Join the subquery with the main table on customer ID and order date to get the first order
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Q2. How do you connect S3 and Lambda
Ans. 
S3 and Lambda can be connected using S3 event notifications to trigger Lambda functions.
• Set up an S3 bucket and create a Lambda function

• Configure the S3 bucket to send event notifications to the Lambda function

• Define the event type and prefix/suffix for triggering the Lambda function

• Lambda function will be automatically triggered when the specified event occurs in the S3 bucket
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Q3. What is Churn Rate? What is customer conversion rate?
Ans. 
Churn rate is the percentage of customers who stop using a product or service over a certain period of time. Customer conversion rate is the percentage of potential customers who take a desired action, such as making a purchase.
• Churn rate measures customer retention and loyalty.

• Customer conversion rate measures the effectiveness of marketing and sales efforts.

• Churn rate can be calculated by dividing the number of custo...read more
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SQL Intermediate to Hard level 2-3 Questions, 18-20 SQL MCQs

Q1. Live SQL coding Questions
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Q2. Questions on Python, BI tools, ETL tools and technologies
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Q1. Questions on Amazon LPs
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Q1. Self Intro, SQL proficiency, Python proficiency
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Q2. Group introduction, job description
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Q1. Please give a self-introduction.
Ans. 
I am a highly motivated Business Intelligence Engineer with a strong background in data analysis and visualization.
• Experienced in SQL, Python, and Tableau for data analysis

• Skilled in creating dashboards and reports to drive business decisions

• Strong problem-solving skills and attention to detail

• Excellent communication and teamwork abilities
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Q2. Why do you apply for Amazon?
Ans. 
I am passionate about technology and innovation, and I believe Amazon offers a challenging and dynamic work environment where I can contribute and grow.
• Passionate about technology and innovation

• Challenging and dynamic work environment

• Opportunity to contribute and grow
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It is 1hr, including SQL and dataframe manipulation, which you can use either R or Python.