BuyMore Data Analyst Interview Questions and Answers

Q1. Excel questions are index match, sumif, countif, vlookup
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Q2. Sql questions are 2nd highest salary
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Q1. About previous experience situation based questions excel problem solving
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Q2. Tell me about yourself difference between data quality and data validity
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Q1. Projects Worked
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I have worked on various projects involving data analysis, visualization, and interpretation.
• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to ensure accuracy

• Created interactive dashboards for stakeholders to easily understand insights
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Q2. SQL functions used in the projects
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Common SQL functions used in projects include COUNT, SUM, AVG, MAX, MIN, and GROUP BY.
• COUNT: Used to count the number of rows in a table.

• SUM: Used to calculate the sum of a column.

• AVG: Used to calculate the average value of a column.

• MAX: Used to find the maximum value in a column.

• MIN: Used to find the minimum value in a column.

• GROUP BY: Used to group rows that have the same values into summary rows.
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Q3. Machine learning alogriths
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Q1. Tell me about yourself
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Q1. Basic to Advanced level of SQL
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Q2. Discussed 1 -2 Business Cases studies
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Basic questions based on Sql

Number sires, clock, logic, arithmetic, geometry

Code test basic, ans the basic knowledge, write code

Q1. What is python?
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Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

• It emphasizes code readability and uses indentation to define code blocks.

• Python has a large standard library and a vibrant community of developers.

• Example: print('Hello, World!')

• Example: import pandas as pd
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Q2. What is python used for?
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Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.
• Data analysis and visualization

• Web development (Django, Flask)

• Artificial intelligence and machine learning (TensorFlow, PyTorch)

• Automation and scripting

• Scientific computing (NumPy, SciPy)
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Q3. What type of language is python?
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Python is a high-level programming language known for its simplicity and readability.
• Python is an interpreted language, meaning it does not need to be compiled before running.

• It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

• Python has a large standard library and a thriving community, making it versatile and widely used.

• Example: Python is used for web develop...read more
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Q4. What is oops in python?
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Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.
• OOP allows for the organization of code into reusable components called classes.

• Classes can have attributes (variables) and methods (functions) associated with them.

• In Python, everything is an object, and classes can be defined using the 'class' keyword.

• Encapsulation, inheritance, and polymorph
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Q5. What is array in python?
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An array in Python is a data structure that stores a collection of elements of the same type.
• Arrays can store elements such as integers, floats, or strings.

• Arrays are indexed starting from 0, with elements accessed using their index.

• Example: arr = ['apple', 'banana', 'cherry']
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Q1. Joins, operations questions not data analysis questions
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Q2. Customer retention case study
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Q3. Cumulative sum for given table
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To calculate cumulative sum for a given table
• Sort the table in ascending order based on the column you want to calculate the cumulative sum for

• Add a new column to the table to store the cumulative sum

• Iterate through each row of the table and calculate the cumulative sum by adding the current row's value to the previous row's cumulative sum

• Store the cumulative sum in the new column for each row
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Q4. Do you have experience in operations/data entry role
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Yes, I have experience in both operations and data entry roles.
• I have worked as a data entry operator for a pharmaceutical company where I was responsible for entering patient data into the system.

• In my previous role as an operations analyst, I was responsible for analyzing data and creating reports for the management team.

• I have experience using various data entry software such as Microsoft Excel and Google Sheets.

• I a...read more
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Q5. As a data analyst can you do data entry work also?
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Yes, I can do data entry work as a data analyst.
• Data entry work is a part of data analysis process.

• I have experience in data entry work and can perform it efficiently.

• Data entry work includes entering data into spreadsheets, databases, or other software.

• I understand the importance of accurate data entry for effective analysis.
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Q6. Normal excel statements like if, vlookup, xlookups etc.,
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