Impact Guru Data Analyst Interview Questions, Process, and Tips

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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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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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. 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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HackerRank Test - Python, SQL