KhataBook Business Analyst Interview Questions and Answers

Q1. Joins outputs for various types of joins
Ans. 
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• INNER JOIN returns rows when there is at least one 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

• FU...read more
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Q2. Query using window functions
Ans. 
Window functions are used to perform calculations across a set of table rows related to the current row.
• Window functions are used in SQL to perform calculations on a set of rows related to the current row.

• They allow you to perform calculations like ranking, moving averages, and cumulative sums.

• Examples of window functions include ROW_NUMBER(), RANK(), and SUM() OVER().
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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.

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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Q1. SQL, Python and Excel
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Case studies about Navi UPI

Case studies about Navi UPI App

Q1. Questions around Sql, python. Ranks, joins, self joins, partitions
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Q2. Tableau powerbi basics
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Guesstimates, business case study