KhataBook Business Analyst Interview Questions and Answers for Experienced

Case studies about Navi UPI

Case studies about Navi UPI App

Q1. SQL, Python and Excel
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General aptitude questions and excel questions

Q1. Knowledge of excel, guesstimate
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Q1. Cultural fitment
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Quantitative aptitude, verbal ability, critical reasoning

Q1. SQL: find store with highest AOV
Ans. 
Use SQL query to find store with highest Average Order Value (AOV).
• Use GROUP BY clause to group by store

• Calculate AOV by dividing total revenue by total orders

• Use ORDER BY and LIMIT to find store with highest AOV
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Q2. Generic behavioural questions
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Q1. Basic questions on joins and aggregate functions.
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Q2. Basic theoretical sql questions
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Q1. Basic questions on python
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Sql and excel then tableu

Q1. Sql and excel and basic questions
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Q1. Longterm aspiration
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Quantitative case study on cost benefit analysis of 2 types of public buses running in a city. Need to choose one of them with higher profits

Fraud detection model: 3rd party firm proposing to use thier model for fraud detection. Need to profit analysis of whether to go for it or not.

Q1. Culture fit round to understand if compatible with the company
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Q1. SQL Queries for JOINS
Ans. 
SQL queries for JOINS
• Use INNER JOIN to retrieve rows from both tables that have matching values

• Use LEFT JOIN to retrieve all rows from the left table and the matched rows from the right table

• Use RIGHT JOIN to retrieve all rows from the right table and the matched rows from the left table

• Use FULL JOIN to retrieve rows when there is a match in either table
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Q2. QUERY FOR metrics given in the sheet
Ans. 
The query is asking for metrics provided in a specific sheet.
• Identify the specific sheet being referred to in the question

• Review the metrics listed in the sheet

• Analyze the relevance of each metric to the query
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This is a case study round revolve around a business problem in which we have to analyse data driven solutions.