PayPal Senior Data Analyst Interview Questions and Answers for Experienced

Q1. Tell me about yourself and the current projects you are working on.
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Q1. Sql Questions on regex, json , window functions were there.
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Q1. Questions on current project, Tableau related question were there.
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It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.

Q1. Detailed discussion on past experience and projects.
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Q1. 2 Hackerrank SQL Questions
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Q2. 1 Hackerrank Python Question
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Q1. Implement lag() and lead() without using lag() or lead()
Ans. 
Implement lag() and lead() functions without using lag() or lead()
• To implement lag(), shift the values in the array by one position to the right

• To implement lead(), shift the values in the array by one position to the left

• For example, to implement lag() on [1, 2, 3, 4], you can shift the values to get [null, 1, 2, 3]

• For lead(), you can shift the values to get [2, 3, 4, null]
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Q2. How will you go about optimising a query?
Ans. 
Optimising a query involves identifying bottlenecks and improving efficiency.
• Identify slow-performing queries using tools like query execution plans.

• Optimize database indexes to speed up query performance.

• Limit the number of columns and rows returned in the query.

• Avoid using SELECT * and instead specify only the necessary columns.

• Use appropriate data types and avoid unnecessary data conversions.

• Consider denormalizing d...read more
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Q3. If the 3rd position in a string contains 'b' replace it with 'v'
Ans. 
Replace 'b' with 'v' in the 3rd position of each string in an array
• Iterate through each string in the array

• Check if the 3rd position contains 'b'

• If yes, replace 'b' with 'v'
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Q1. SQL Joins and remove duplicates
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Q2. Function to create a transaction bin column
Ans. 
Create a function to generate a transaction bin column based on transaction amounts.
• Create bins based on transaction amounts (e.g. $0-$100, $101-$200, etc.)

• Use pandas cut() function in Python to create bins

• Assign bin labels to the transactions based on the bin ranges
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Q1. SQL case study for data
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Q2. Find nth salary
Ans. 
To find the nth salary in a dataset
• Sort the dataset in descending order based on salary

• Remove duplicates if necessary

• Return the salary at index n-1
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Q1. Sql,power bi,aptitude,technical
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Q2. How you take criticism
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Apti was based on analytical skills

It was a fun GD which had the topic future app experiences.

Asked questions on guestimates and my analytical skills

Q1. HR questions and 1 analytical question asked.
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Q2. Question asked on my location
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Q3. Question asked on guestimates
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