Top 10 Interview Questions in Data Analytics

1. How do you handle large datasets or big data analysis?

When I work with the large dataset, I usually prefer tools like SQL for the efficient query handling and filtering.
For complex analysis, I mostly use pandas which can handle the large dataset.

2. What tools and software are you proficient in for data analysis?

I have knowledge of the tool like advanced excel, sql, PowerBI and python.
I feel like I am very good confident in the advanced excel but for becoming proficient in any field or tool you need practice so even if you are using different tool than the excel, I have knowledge of the other tool so with little effort I can be proficient in the that tool also.

3. Can you describe a time when you used data to solve a business problem?

In today world data is everything if you have the data so you can make proper decision.
Example: In my previous job where we face issue in sales of the particular product because of that the inventory of that product increase day by day so we look into the data and found that the same product sold more in other shop so we just shift this product to that shop because of which we avoid the wastage of product and loss also.

4. What is the difference between data mining and data analysis?

Data mining is a process of the discovering the pattern and the trends in the data whereas data analysis is examining the data and find the meaningful insights.

5. How would you handle missing or incomplete data in a dataset?

There are different ways you can handle the missing data.
1) Dropping the data
2) Filling blank number with minimum value
3) Insert the average values in the number which not affects the results most.
With second and third method you can avoid the data loss and get more efficient output than dropping the data.

6. Explain what a pivot table is and how you’ve used it in your work.

Pivot tables in excel used for the summarization of the data. If you have large dataset, you can use the pivot table to understand the data better. You can use aggregate function in pivot table to quantify the results so you can easily understand how well the business Is going.

7. How do you ensure the accuracy and quality of your data analysis?

I will make sure that data is clean, accurate and also validated by checking for inconsistencies, duplicates and errors. I will try to reduce inconsistency as much as possible so the data loss will be minimum and don’t affect the final outcome.

8. What are some of the key performance indicators (KPIs) you’ve worked with in your past roles?

KPI stands for key performance indicator
Example: if you have a cloth store.
The KPI will be which brands sales the most, which customer group enjoy which product like wise.

9. What is your experience with SQL? Can you write a query to extract data from tables?

Yes, I have experience with SQL.
English: show all the data from the table
SQL: Select * from table;
Actually it is a beginner friendly language so if someone want to learn the data analysis, he/she can start with sql also.

10. How do you approach creating data visualizations for stakeholders?

First need to understand the objective of the stakeholders, what massage need to be conveyed.
Depends on that you can choose different types of graphs to show your finding in the data.
Example:
1) Line chart mostly useful for the time series analysis.
2) For showing the composition you can use pie charts. 3) column and bar graph can be used for the any data they called as universal charts.