10 Tableau Interview Questions (With Sample Answers)

By Indeed Editorial Team

Updated July 20, 2022

Published May 2, 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Tableau is a powerful data analysis and visualization software that many companies and institutions use to arrange, access and handle essential information. If you're applying for a role that demands Tableau skills, you can expect the recruiting manager to assess your technical expertise and abilities with the software. This situation emphasizes the importance of reviewing and rehearsing your responses in advance to maximize your chances of success. In this article, we cover ten Tableau interview questions with sample answers to help you prepare.

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10 Tableau interview questions and responses

You can consider the following Tableau interview questions and responses regarding your expertise and skills:

1. How proficient are you with Tableau?

Employers may begin the interview by inquiring about your familiarity with the program. When responding to questions like this, it's essential to explain specific instances that illustrate your understanding of the program's features and applications. Additionally, you can discuss how you honed your skills and used Tableau to execute previous projects. The following example response demonstrates what you can include when answering this question.

Example: "I have been using Tableau for data collation and organization for over two years. I've honed my skills by visualizing and querying data with SQL language programming and transmitting data between internal and external sources using the software. Additionally, I earned my Tableau Certified Data Analyst certificate and intend to keep developing my skills in business analytics."

Related: Top 10 Data Analyst Interview Questions (With Example Answers)

2. What are the various Tableau products and their key features?

If you're applying for a data visualization role, you typically require in-depth Tableau knowledge. An interviewer may want you to explain all essential functions within the Tableau product line. You can respond by describing each function and its application briefly. Prepare to respond to further questions regarding each function.

Example: "The Tableau suite involves five main products. Tableau Desktop is an intuitive business analytics and data visualization solution that converts visual representations of data into optimal queries, enabling you to run queries without writing code. Tableau Server extends the functionality of Tableau Desktop by enabling you to share your project via its servers. Tableau Online enables you to publish and share dashboards created in Tableau Desktop. Tableau Reader is a desktop application that enables you to observe visuals created with Tableau Desktop. Lastly, Tableau Public is a free Tableau program that can assist you in visualizing data, but you can only save it using Tableau Server."

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3. How do you publish and schedule a workbook in Tableau Server?

Because Tableau use is so widespread, you can expect practical inquiries related to some of its features. An interviewer typically wants to assess your practical expertise. You can explain in detail how you can publish and schedule a workbook. Doing that can show that you've worked with Tableau and are familiar with the software.

Example: “I begin by creating a schedule for a specific timeframe, develop an extract for the data source and publish the workbook on the server. Prior to publishing it, I click on the scheduling and authentication option and select the schedule from the drop-down menu. After I set the schedule and publish the data source, the schedule runs automatically at the defined time and the workbook refreshes often."

4. Which software features do you believe are critical for data cleaning and visualization?

The interviewer can use this question to examine your ability to coordinate, arrange and manage data using various program functions. Describe specific tasks you've accomplished in the past using features to enhance data use and ease of access, such as extraction, blending, analysis and translation. Consider this sample answer below.

Example: "I've discovered that Tableau's reader is critical for improving visual data accessibility. Additionally, I leverage highlighting and filtering functions to clean raw data and retrieve information from external sources. These features also enable me to build dashboards for mobile compatibility so team members can access data remotely."

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5. Can you tell me about an assignment you performed using Tableau's public version?

Tableau is usable in various versions, including a public version that makes data accessible online to any user. Employers can use this question to assess your ability to differentiate between shareable data and information that necessitates privacy to support open business communication. In your response, explain what you understand about sharing company data using Tableau Public to sustain open communication with clients, investors, and the public. You can use this example answer to assist you in preparing your own response.

Example: "Several corporate clients I previously worked with modified the data they made publicly available to their markets. Before transmitting data into the published version, I retrieved information concerning yearly income, existing assets and product milestones. Because this data wasn't distinct from private financial information, I developed separate data queries and files within the public domain. This supplied useful public information to consumer markets while retaining the integrity and privacy of internal data."

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6. What factors do you consider when developing data files to assist financial operations?

The interviewer may want to assess your capacity for organizing massive data sets for specific purposes, such as monitoring internal data, including purchases, sales and investments. You can describe how you can sort data by file type and guarantee that data is accessible to financial teams in your response. Here is a sample to assist you in refining your answer.

Example: "I begin by examining the data to find out if I can develop separate segments. In my previous position, I assisted my organization in monitoring all sales and financial operations by organizing the data by file type and segmenting by line item. I developed graphs and defined these visualizations in packaged workbooks for most of the financial transactions, which helped my managers assess both visual and summarized data. Additionally, I consider the volume of data I'm working with, because this can assist me in deciding whether to make extraction files for the workbooks I develop."

7. How do you incorporate embedded data into the program while using it?

This question can assist interviewers in understanding how you arrange and sort data from many internal sources. You can demonstrate your skills to the interviewer by discussing the various embedded data sources used to produce individual workbooks for team access and use. Consider the following example to assist you in crafting your response.

Example: "Embedded data holds the linked information within the multiple files, workbooks, dashboards and tables in the system. Because this data is already accessible, I can easily set up extra connections between current data and new information teams entered into the system. This technique improves the efficiency of accessing embedded data, as it already exists and can accept revisions and alterations in real-time."

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8. How do you differentiate between different data sources?

The interviewer is likely to question you about your abilities and experience in obtaining, retrieving and combining data from multiple sources. In your response, you can share some instances of the strategies you use to locate and review new data sets from both internal and external sources. Consider the example below to help you determine how to reply to this question.

Example: "In systems with several data files, I can consider several factors to distinguish different source types. Typically, the icons or file names can indicate the source of the data, while the last extraction date and location can also serve as immediate indicators of source type. I can also consider the connection type and location, based on the volume of data transferred between files."

9. What applications necessitate the use of dimensional inputs?

Employers can use this question to determine your ability to apply specific parameters that enhance usability, accessibility and management operations for teams who rely on data to execute their tasks. When replying to this question, consider emphasizing your attention to detail and critical thinking skills. Consider the following sample answer.

Example: "In previous assignments, I leveraged dimensional parameters to segment data like client files, product catalogues and sales transaction type. Additionally, I've discovered that using dimensions in Tableau to define segments for marketing departments can aid in the development of effective campaigns. Some of my projects also helped increase accessibility because of dimensions I leveraged to structure the data that both the marketing and sales teams used."

Related: Differences Between Structured vs. Unstructured Data

10. What types of applications need data measurements?

The interviewer may also want to observe your analytical reasoning and how well you organize your work when introducing additional data to a managed system. You can explain how you handle data organization and management, leveraging Tableau's parameter features in your answer. The following sample can assist you in refining your response.

Example: "Data measurements are more appropriate for differentiating numerical and quantitative data. In my previous role, I assisted the senior analyst in using measurements to collect and display vital financial data. My implementation of unique measurement tags in the program helped sort total revenue, profits, expenses, and estimations."

Please note that none of the companies, institutions, or organizations mentioned in this article are affiliated with Indeed.

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