PharmEasy Data Analyst Intern Interview Questions and Answers

There are 2 coding challenges and 7 objective questions

Q1. Technical questions related to role
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Q1. Interviewer asked me basic SQL questions
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Q2. In the second technical round he asked me advanced SQL topics (Windows Functions, Joins & Subqueries)
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In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.

Quant, LR, puzzles, cat based level 2 questions

Q1. Difference between tuple nd list
Ans. 
Tuple is immutable and ordered, while list is mutable and ordered in Python.
• Tuple is created using parentheses () while list is created using square brackets []

• Tuple elements cannot be changed once assigned, while list elements can be modified

• Tuple is faster than list for iteration and accessing elements

• Example: tuple = (1, 2, 3) and list = [1, 2, 3]
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Q2. How will you cut a cake into 8 equal pieces by 3 cuts
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Q1. Walk me through ur cv
Ans. 
I have a strong background in data analysis with experience in various industries.
• Bachelor's degree in Statistics with a focus on data analysis

• Proficient in SQL, Python, and data visualization tools like Tableau

• Experience working with large datasets and conducting statistical analysis

• Completed internships at XYZ Company and ABC Organization

• Presented findings at industry conferences
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Q2. What have learnt from this experience?
Ans. 
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
• Developed strong analytical skills through hands-on experience with various data analysis tools and techniques

• Improved ability to identify trends, patterns, and outliers in data sets

• Enhanced communication skills by presenting findings and recommendations to stakeholders

• Learned to collaborate with team memb
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Q1. SQL related questions like joins
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Q2. Types of join in sql
Ans. 
Types of join in SQL include inner join, left join, right join, and full outer join.
• Inner join returns only the matching records from both tables.

• Left join returns all records from the left table and the matching records from the right table.

• Right join returns all records from the right table and the matching records from the left table.

• Full outer join returns all records when there is a match in either the left or rig
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Q3. Practical use of left join
Ans. 
A left join is used to combine data from two tables based on a common column, including all records from the left table.
• Left join returns all rows from the left table and the matching rows from the right table.

• It is useful when you want to retrieve all records from the left table, even if there are no matches in the right table.

• The result of a left join will have NULL values in the columns from the right table where th...read more
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Q4. Number of rows after applying certain join operations
Ans. 
The number of rows after applying join operations depends on the type of join used and the data in the tables being joined.
• Inner join retains only the rows that have matching values in both tables

• Left join retains all rows from the left table and the matched rows from the right table

• Right join retains all rows from the right table and the matched rows from the left table

• Full outer join retains all rows when there is a
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Q5. Difference between vlookup in excel and some function in sql
Ans. 
VLOOKUP in Excel is used to search for a value in a table and return a corresponding value, while SQL functions like JOIN and WHERE are used to retrieve data from multiple tables based on specified conditions.
• VLOOKUP is specific to Excel and works on a single table, while SQL functions can work on multiple tables.

• VLOOKUP requires the table to be sorted in ascending order, while SQL functions do not have this requiremen...read more
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Simple SQL & Excel test

Q1. Will Face hiring Manager
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HackerRank Test - Python, SQL

Q1. Previous company experience and current company roles and responsibilities
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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