Blinkit Senior Data Analyst Interview Questions and Answers

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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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. Basic details about work ex, reason to switch, salary expectations
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2 SQL questions asked

Q1. Basic Excel, Regression, Anova model, CHAID model etc
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Q2. Previous experience
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Q1. SQL joins , previous experience
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Q2. Guesstimate, probability questions
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Q1. They'll ask you to come there office for technical round it would be face to face round. They'll ask sql joins. 2nd highest salary probably & Python question where you need to merge 2 tables & get an outco...read more
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Q1. Excel based questions in , vlookup, xlookup, index , match
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Q2. SQL questions using queries based on concepts like subqueries, CTE & windows functions
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Q3. Scenerio-based question, table 1 & table 2 with 5 & 3 liter if water, assuming the flow of water is unlimited & we need to get 4 liter of it
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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