Tableau Interview Questions and Answers 2023

LISTEN TO THE TABLEAU FAQs LIKE AN AUDIOBOOK

Over the years, there has been a massive increase in the use of Tableau. It is a BI software used for the visual representation of data from different sources. Tableau streamlines the process of data analysis, data representation, and data exploration through its in-built features.

Today, around 50% of big fortune companies use Tableau, escalating the demand for skilled Tableau professionals. Due to the surging demand for Tableau skills, professionals are offered lucrative salaries if they possess the required skills.

You must get through the interview if you also want to secure a high-paying jobs in usa. To help you prepare for a Tableau interview, we have curated a list of the frequently asked Tableau Interview Questions after consulting with top industry experts in data visualization and data analytics.

Practicing these Tableau Interview Questions and Answers will brush up your basic knowledge and help you ace your next Tableau interview.

What is Tableau?

Tableau is a robust data visualization tool to create dynamic and interactive dashboards, reports, and charts. It facilitates users to connect to various data sources, spreadsheets, databases, spreadsheets, and cloud-based applications, thus transforming raw data into visually appealing and informative reports.

Tableau provides an intuitive drag-and-drop interface that allows users to create a wide variety of visualizations, including maps, scatterplots, line charts, bar charts, and more. Users can customize their visualizations, add filters and parameters, and create interactive dashboards that allow users to explore the data in real time.

One of the important features of Tableau is its ability to handle large and complex data sets. It provides an array of data blending and preparation tools that enable users to combine data from multiple sources and clean, transform, and reshape their data to fit their specific needs.

Tableau is widely used in top industries, like finance, healthcare, marketing, and more, to analyze data and make informed business decisions. It is also a popular tool for Data Scientists, analysts, and researchers who need to visualize and communicate their findings to others.

Tableau provides a wide range of resources, such as training courses, tutorials, and a community of users to help users learn and master the tool.

Top 5 Reasons to Learn Tableau

Tableau is a popular and powerful data visualization tool that can help you to create interactive dashboards, reports, and charts. Learning Tableau Interview Questions and pursuing Tableau can provide you with several benefits, such as:

  • Data analysis and visualization: Tableau provides an intuitive and user-friendly interface that allows you to create insightful and engaging visualizations of your data. You can quickly create interactive dashboards and charts to explore your data, uncover hidden patterns and insights, and communicate your findings to others.
  • Better decision-making: Tableau enables you to easily turn raw data into meaningful insights, which can help you make better business decisions. You can identify trends, patterns, and outliers by visualizing your data that may not be immediately apparent in raw data.
  • Career opportunities: Tableau is widely used in top-tier industries, including finance, healthcare, marketing, and much more. Thus, learning Tableau can provide you with a valuable skill set to enhance your career prospects and increase your job opportunities.
  • Time-saving: Tableau can save you time by automating data visualization and analysis tasks. You can quickly create and share interactive dashboards, reports, and charts without coding or complex data analysis tools.
  • Collaboration: Tableau provides a collaborative environment where you can share your insights and work with other team members. You can easily collaborate on data analysis projects and get feedback from your peers.

Learning Tableau Interview Questions and Answers can help you become a more effective data analyst who can make better business decisions and increase your career prospects.

Career Paths in Tableau

You can find various Tableau interview questions for Data Analyst, Data Scientists, and other positions, it means learning Tableau can open the door to many lucrative career opportunities, such as:

  • Business Analyst (130,000 per annum)
  • Data Analyst ($93,000 per annum)
  • Digital Analyst ($88,000 per annum)
  • Marketing Analyst ($83,000 per annum)
  • Tableau Consultant ($131,625 per annum)
  • Tableau Developer ($91,514 per annum)

Roles and Responsibilities for a Tableau Career

If you thinking to launch a Tableau career, you should be ready to take on the following responsibilities:

  • Generating visual representations of data through Tableau after extracting it
  • Analyzing data to discover significant patterns and insights
  • Identifying areas for automation to streamline business processes
  • Crafting reference materials or reports for the completed project
  • Optimizing SQL queries to enhance performance
  • Detecting and fixing issues in business operations
  • Overseeing Tableau Server administration
  • Handling large amounts of data
  • Creating dashboards

How to build a Tableau Career?

Here are some steps that you can take to prepare for a career in Tableau:

  1. Learn Tableau: Start by familiarizing yourself with the Tableau software and its capabilities. You can find many online resources, tutorials, and courses to learn Tableau, including the Tableau website, YouTube, and Udemy.
  2. Advance Data Analysis Skills: Tableau is a powerful tool for data analysis, but it requires a solid foundation in data analysis concepts. Therefore, it is important to develop your data analysis skills, including data cleaning, data visualization, and statistical analysis.
  3. Build a Portfolio: As you learn Tableau, create a portfolio of data visualization projects to showcase your skills and experience. You can use your own data or publicly available data sets to create visualizations.
  4. Gain Practical Experience: Look for opportunities to gain practical experience using Tableau. You can work on real-world projects or volunteer to create visualizations for non-profit organizations.
  5. Connect with the Tableau Community: Join the Tableau community to connect with other professionals and learn from their experiences. You can participate in forums, attend user groups, and follow Tableau experts on social media.
  6. Obtain Tableau Certifications: Tableau offers several certifications that validate your skills and expertise. Consider obtaining one or more certifications to demonstrate your Tableau proficiency to potential employers.

By following these steps, you can prepare yourself for a career in Tableau and increase your chances of success in the field. You can assess your skills by practicing Tableau Interview Questions and Answers and mock tests.  It will give you a real picture of where your stand and highlight your areas of improvement.

Check our list of most common Tableau interview questions for Data Analyst. It includes fundamental and advanced technical interview questions that will refine your knowledge just before the interview.

Answer:

Tableau is a business intelligence software that allows interactive visualization and handling of large amounts of data. It is used by businesses around the world to crunch numbers and use the insights for growth and development.

Answer:

Data visualization is a way to represent data that is visually appealing and interactive. With advancements in technology, the number of business intelligence tools has increased which helps users understand data, data sets, data points, charts, graphs, and focus on its impact rather than understanding the tool itself.

Answer:

There are three main features of Tableau, such as:

  • Data Blending: Data blending is an essential feature in Tableau. It is used when we combine related data from multiple data sources, which you want to analyze together in a single view, and represent in the form of a graph.
  • Real-time Analysis: Real-Time Analysis makes users able to quickly understand and analyze dynamic data when the Velocity is high, and real-time analysis of data is complicated. Tableau can help extract valuable information from fast-moving data with interactive analytics.
  • The Collaboration of Data: Data analysis is not isolating task. That’s why Tableau is built for collaboration. Team members can share data, make follow up queries, and forward easy-to-digest visualizations to others who could gain value from the data. Making sure everyone understands the data and can make informed decisions is critical to success.

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LOD Expression stands for Level of Detail Expression, and it is used to run complex queries involving many dimensions at the data sourcing level.

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A heat map is a graphical representation of data that uses the color-coding technique to represent different values of data. As the marks heat up due to their higher value, dark colors will be shown on the map.

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TreeMap is a visualization that organizes data hierarchically and shows them as a set of nested rectangles. The size and colors of rectangles are respective to the values of the data points they project. Parent rectangles will be tiled with their child elements.

Answer:

There are 2 connection types available in Tableau.

  • Extract: Extract is a snapshot of data that will be extracted from the data source and put into the Tableau repository. This snapshot can be refreshed periodically fully or incrementally. This can be scheduled in Tableau Server.
  • Live: It creates a direct connection to the data source and data will be fetched directly from tables. So, data will be up to date and consistent. But, this also affects access speed.

Answer:

This is one of the most frequently Tableau interview questions. And you must try giving a thorough answer to this one! Tableau filters are a way of restricting the content of the data that may enter a Tableau workbook, dashboard, or view.

The Different Types of Tableau Filters are:

  • Extract filters
  • Context filters
  • Data source filters
  • Filters on measures
  • Filters on dimensions
  • Table calculation filter

Answer:

Multiple measures can share in a single axis so that all the marks will be shown in a single pane. We can blend measures by dragging the 1st measure on one axis and the 2nd on the existing axis.

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Shelves: Every worksheet in Tableau will have shelves such as columns, rows, marks, filters, pages, and more. By placing filters on shelves we can build our own visualization structure. We can control the marks by including or excluding data.

Sets: The sets are used to compute a condition on which the dataset will be prepared. Data will be grouped together based on a condition. Fields which is responsible for grouping are known as sets.

Answer:

There is a card to the left of the view where we can drag fields and control mark properties like color, size, type, shape, detail, label, and tooltip.

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When you are ready to make a data source available to other tableau desktop users. You can publish it to the tableau server or online. Or else you can make it available by saving the same like embedded excel or text file.

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A bullet graph is a variant of Bar graph. It is responsible for comparing the performance of one measure with other measures.

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Gantt Chart displays the progress of value over the period. It consists of bars along with the time axis. It is a project management tool. Here, each bar is a measure of a task in the project framework.

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Tableau Reader is a free desktop application, where you can read and interact with the Tableau packaged workbooks. It can only open the files but cannot create new connections to the workbook.

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TDE is Tableau Desktop Extension with extension .tde. TDE file points to a file that contains data from external sources like MS Excel, MS Access, or CSV files. TDE makes it easier to analyze and discover data.

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The maximum number of rows or columns is indefinite because even though Tableau contains petabytes of data, it intelligently uses only those rows and columns which you need to extract for your purpose.

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DRIVE program methodology creates a structure around data analytics derived from enterprise deployments. The drive methodology is iterative in nature and includes agile methods that are faster and effective.

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Add the ‘GroupBy’ clause to SQL queries or create a calculated field in the data window to group fields.

  • Using groups in a calculation. You cannot reference ad-hoc groups in a calculation.
  • Blend data using groups created in the secondary data source: Only calculated groups can be used in data blending if the group was created in the secondary data source.
  • Use a group in another workbook. You can easily replicate a group in another workbook by copy and pasting a calculation.

Answer:

In some cases, you can improve query performance by selecting the option to Assume Referential Integrity from the Data menu. When you use this option, Tableau will include the joined table in the query only if it is specifically referenced by fields in the view.