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๐Ÿ“Š Data Analyst Interview Series โ€” Part 10

Guys, let's continue our Data Analyst Interview Series.

Today, let's focus on real-world Excel case-study questions. These are important because interviewers often want to know how you approach a business problem, not just whether you know a formula.

1๏ธโƒฃ You receive a sales dataset with 1 million rows. How would you analyze it in Excel?

Sample Answer:

"First, I would understand the structure and business objective.

Since the dataset is large, I would avoid relying heavily on worksheet formulas. I would use Power Query to import and transform the data and, if appropriate, load it into the Data Model.

Then I would create measures or PivotTables for KPIs such as total sales, profit, order count, average order value, and sales growth.

Finally, I would validate the results against the source data before presenting the analysis."

2๏ธโƒฃ Sales have decreased by 20% this month. How would you investigate the reason?

Sample Answer:

"I would not assume that the overall decline has a single cause.

I would break the analysis down by:

โ€ข Region

โ€ข Product

โ€ข Customer segment

โ€ข Sales channel

โ€ข Date

โ€ข Salesperson

Then I would compare each segment with the previous period to identify where the decline is concentrated.

I would also check for data-quality issues, missing transactions, changes in business rules, and incomplete data before drawing a conclusion."

3๏ธโƒฃ How would you identify customers at risk of becoming inactive?

Sample Answer:

"First, I would define what 'inactive' means for the business, such as no purchase in the last 90 days.

Then I would calculate each customer's most recent transaction date and calculate the number of days since that transaction.

For example:

=TODAY()-Last_Purchase_Date
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