20 Google Data Studio Interview Questions and Answers

Google Data Studio is a powerful data visualization tool that allows users to create interactive dashboards and reports. As more and more businesses rely on data to make decisions, the demand for data analysts and engineers who know how to use Data Studio is on the rise.

If you’re interviewing for a position that involves Data Studio, you can expect to be asked questions about your experience with the tool, as well as your general understanding of data visualization principles. In this article, we’ll give you a rundown of the most common Data Studio interview questions, so you can go into your interview feeling prepared and confident.

Google Data Studio Interview Questions and Answers

Here are 20 commonly asked Google Data Studio interview questions and answers to prepare you for your interview:

1. What is Google Data Studio?

Google Data Studio is a free and easy-to-use data visualization tool that turns your data into informative reports that you can share with others.

2. How does Google Data Studio work?

Google Data Studio is a web-based application that allows users to create interactive data visualizations. The application pulls data from a variety of sources, including Google Sheets, BigQuery, and Cloud SQL, and then allows users to manipulate and visualize that data in a variety of ways.

3. Can you name some of the features offered by Google Data Studio?

Google Data Studio offers a number of features that make it an attractive option for data visualization, including the ability to connect to multiple data sources, create custom charts and graphs, and share reports with others. Additionally, Data Studio is free to use, which makes it a great option for those on a budget.

4. Why do you think Google Data Studio is better than other similar solutions like Tableau, PowerBI, or Looker?

Google Data Studio has a few advantages over its competitors. First, it is a free solution, while most of its competitors are quite expensive. Second, it is very easy to use and has a lot of features that allow you to customize your reports. Finally, it integrates well with other Google products, which makes it a good choice if you are already using other Google tools for your business.

5. What are some common use cases for Google Data Studio?

Google Data Studio is a powerful data visualization tool that can be used for a variety of purposes. Some common use cases include creating marketing reports, analyzing website data, and tracking social media metrics.

6. What types of data can be used with Google Data Studio?

Google Data Studio can be used with a variety of data sources, including Google Analytics, Google Sheets, and BigQuery.

7. Is it possible to create a dashboard in Google Data Studio that combines multiple reports?

Yes, it is possible to create a dashboard in Google Data Studio that combines multiple reports. To do this, you will need to create a new dashboard and then add the reports that you want to include to the dashboard.

8. What are the different ways to connect to a connector on Google Data Studio?

There are four ways to connect to a connector on Google Data Studio:

1. Directly from the Connector Gallery
2. From the Connections page
3. From the Data Source page
4. From the Report Builder

9. How do you add a new connector in Google Data Studio?

To add a new connector in Google Data Studio, you will need to go to the Connections tab and click on the + sign. From there, you will be able to select the type of connector you would like to add.

10. What’s the difference between an AdWords Connector and a Search Console Connector on Google Data Studio?

The AdWords Connector lets you access your AdWords account data, while the Search Console Connector lets you access your Google Search Console data.

11. What is your understanding of calculated fields in Google Data Studio? How are they created?

Calculated fields are fields that are generated based on a formula that you create. This formula can be based on other fields in your data set, or it can be a completely custom formula. You can create calculated fields by clicking on the “Add a Field” button in the Data Studio interface and then selecting the “Calculated Field” option.

12. What is your understanding of custom dimensions in Google Data Studio?

Custom dimensions are a way of adding extra information to your Google Data Studio reports. This information can be used to segment your data, or to add extra context to your reports. For example, you could use a custom dimension to track which version of your website a user is visiting, or to track which campaign a user came from.

13. What are the main limitations of using Google Data Studio?

The main limitations of using Google Data Studio are its lack of support for some data sources, its lack of some features that are available in other data visualization tools, and its relatively newness compared to other options.

14. Can you explain what rich text formatting is?

Rich text formatting is a way to add formatting to your text that goes beyond the basic options of bold, italics, and underlining. With rich text formatting, you can change the font, size, color, and style of your text, as well as add images, links, and other media.

15. What’s the difference between a table chart and a pivot table in Google Data Studio?

A table chart is a basic chart type that shows data in a tabular format, while a pivot table is a more advanced chart type that allows you to group and summarize data in a more flexible way.

16. What are the differences between filters and control widgets in Google Data Studio?

Filters are used to restrict the data that is displayed in a report, while control widgets are used to interact with the data in a report. For example, you could use a filter to only show data from a certain date range, or to only show data for a certain region. You could use a control widget to allow a user to select a specific date range or region to view data for.

17. What is the usage of default parameters in Google Data Studio?

Default parameters in Google Data Studio allows you to set a default value for a parameter that will be used if no other value is specified. This can be useful if you have a parameter that is frequently used with the same value, or if you want to ensure that a parameter always has a value set.

18. Is there any way to change the color scheme used in Google Data Studio Visualizations?

Yes, there is a way to change the color scheme used in Google Data Studio Visualizations. To do so, simply click on the “Visualizations” tab in the left-hand sidebar and then select “Color Scheme” from the drop-down menu. From there, you will be able to select from a variety of different color schemes to use in your visualizations.

19. Can you give me an example of how you would develop a GDS report from scratch?

When developing a GDS report from scratch, the first step is to determine what data you want to include in the report. Once you have your data, you can then begin creating your report. GDS offers a variety of report types, so you can choose the one that best suits your needs. Once you have selected a report type, you can then begin adding your data to the report. GDS makes it easy to add data sources and to visualize your data. Once you have your data in the report, you can then begin customizing your report to better suit your needs. GDS offers a variety of customization options, so you can make your report look exactly the way you want.

20. What are some best practices for developing reports in Google Data Studio?

Some best practices for developing reports in Google Data Studio include using filters to narrow down data, using multiple data sources to get a complete picture, and using calculated fields to perform analysis. Additionally, it is important to design the report in a way that is easy to understand and visually appealing, as this will make it more likely that users will actually want to interact with the data.