Amazon Business Analyst Interview Questions, Process, and Tips

Analyzing data For insights ?
business analytics skills
Prioritizing task in fast paced environment ?

Handling incomplete data

Python ,SQL, PowerBi

General language test

SQL skills test to measure handson approach

Q1. Tell about yourself
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Q2. What is your name
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Q1. How would you rate yourself in SQL
Ans. 
I rate myself as proficient in SQL with experience in writing complex queries and optimizing database performance.
• Proficient in writing complex SQL queries

• Experience in optimizing database performance

• Familiar with database management systems like MySQL, SQL Server, Oracle

• Ability to work with large datasets and perform data analysis

• Knowledge of SQL functions, joins, subqueries, and indexes
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Q2. Different types of Joins
Ans. 
Different types of Joins are Inner Join, Left Join, Right Join, and Full Join.
• Inner Join: Returns rows when there is a match in both tables.

• Left Join: Returns all rows from the left table and the matched rows from the right table.

• Right Join: Returns all rows from the right table and the matched rows from the left table.

• Full Join: Returns rows when there is a match in one of the tables.
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Q1. Questions on your past projects
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Q2. Behavioral questions alongside Amazon's leadership principles
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Q1. SQL questions on joins
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Q2. Sql on group by
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Q1. Business situation question
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Q1. Salary expectations
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Q1. Why do you want to move to IT Services?
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Q2. Do you have knowledge on Aspect WFO and SQL?
Ans. 
Yes, I have knowledge on Aspect WFO and SQL.
• I have experience working with Aspect Workforce Optimization (WFO) software.

• I am proficient in writing and executing SQL queries for data analysis and reporting.

• I have used SQL to extract and manipulate data from databases for business analysis purposes.
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Q3. Tell me something that is not in the resume but relevant to your applied role?
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Q1. Tell me about a situation when you had to disagree with your manager on a task and how did you handle it?
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Q2. Tell me about a situation when you went above and beyond to assist a customer and what was the outcome?
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