Dunzo Data Analyst Interview Questions and Answers

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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SQL and Python data analysis questions

Q1. How do you match the data in different columns.
Ans. 
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
• Use string matching techniques like exact match, partial match, or fuzzy matching.

• Apply data cleaning and preprocessing techniques to standardize the data before matching.

• Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.

• Consider using database join...read more
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Q1. SQL base Question
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Q2. About your projects
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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
Ans. 
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
Ans. 
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?
Ans. 
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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Q1. Screening questions
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Q2. Name, age, qualification, prior experience etc
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Operation questions like vlookups, Hlookups, xlookups etc,.

Reporting questions like pivot tables, typing speed, power pivots, pricing sheet preparation

SQL queries like joins, aggregation functions, filters etc,.

Q1. Advanced analytics and finding trends and patterns with MH - operations data
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Q2. How fast can you prepare a bar chart with product operations data
Ans. 
I can prepare a bar chart with product operations data within a few minutes.
• I have experience using data visualization tools like Tableau, Power BI, or Excel to quickly create bar charts.

• I am proficient in organizing and cleaning data to ensure accurate representation in the chart.

• I can customize the chart with relevant labels, colors, and titles to make it visually appealing and easy to understand.
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Q3. How can I do merge multiple excel files together
Ans. 
You can merge multiple Excel files together using the 'Consolidate' feature in Excel.
• Open Excel and go to the 'Data' tab

• Click on 'Consolidate' in the 'Data Tools' group

• Select the files you want to merge and choose the desired options

• Click 'OK' to merge the files together
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Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
Ans. 
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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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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