6 Data Visualization Jobs to Know in 2026

Key takeaways

• Data visualization jobs include data visualization engineer or specialist, data analyst, data scientist, business intelligence analyst, and analytics manager.

• Some of the skills you’ll need for data visualization engineer jobs, for example, include proficiency in data storytelling, creating dashboards, and using business intelligence tools.

• Data visualization specialist jobs involve working with the broader data team, using digital tools like Power BI and Tableau to collect and interpret data, as well as create visualizations.

Data visualization can be a good career, particularly if you are interested in taking complex information and using compelling visuals to help turn it into insights. Learn more about common data visualization jobs, including what they are and how to build your data visualization skills.

Afterward, if you're ready to start sharpening this skill with an industry leader, consider enrolling to earn Microsoft's Data Visualization Professional Certificate. In as few as four months, you'll have an opportunity to gain practical experience working with data sets, building data models, and creating compelling visualizations.

6 data visualization jobs

Data visualization professionals incorporate the skill in their work to present data to non-technical audiences and tell stories that help organizations make data-driven decisions. Data visualization can be the sole focus of a job role, such as a data visualization engineer. But more often than not, it's a skill used in data-oriented roles to portray data and information in creative ways, such as dashboards that show weekly trend reports or bar graphs for investor pitch decks.

Here are 6 data visualization jobs to know so you can begin building your skills today.

1. Data visualization engineer

Data visualization engineers are responsible for the design and development of data visualizations and dashboards using data sets from various sources. They are experts in data and storytelling and whizzes at business intelligence (BI) tools to create user-friendly dashboards for business teams. Data visualization engineers may also write and test analytics platform code, toggle with software tools like Tableau or Looker to produce dashboards, and fix bugs whenever necessary.

Total median salary: $113,000 [1]*

2. Data visualization specialist

As the name suggests, a data visualization specialist’s primary responsibility is to develop data visualizations for an organization. You’ll work with the organization’s data team, including data analysts and data scientists, to collect and interpret data. Using digital tools and software, such as Tableau and Power BI, you’ll develop easily digestible data visualizations. Organizations then effectively convey this key information to internal and external stakeholders.

Total median salary: $101,000 [2]*

3. Data analyst

As a data analyst, you’ll be in charge of collecting, cleaning, and interpreting data sets to answer a question or solve a problem within an organization. Data analysts can be found across industries as varied as finance, science, government, and criminal justice. Questions that data analysts might answer include: What segment of customers should be targeted in this advertising campaign? Which age group is most vulnerable to COVID-19? Data visualization skills will enable you to present this information to the team with graphs and charts.

Total median salary: $94,000 [3]*

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With Google’s Data Analytics Professional Certificate, you can receive a solid foundation in data analysis and visualization, plus introductory AI training.

4. Data scientist

Data scientists look for trends and patterns in data to help organizations make informed decisions about their operations, marketing, and more. They create algorithms and data models to forecast outcomes, sometimes adopting machine learning techniques to improve products or tools.

Once data scientists are comfortable with their outcomes, they’ll present their findings and recommendations to stakeholder teams, employing data visualizations to help make a compelling case. This job has a growth rate of 34 percent, which is much faster than the average for all occupations in the country (3 percent) [4].

Total median salary: $157,000 [5]*

5. Business intelligence analyst

Business intelligence analysts analyze and interpret data specific to businesses, such as sales revenue, market trends, and customer engagement metrics. BI analysts are always looking for potential improvements that can be made to drive business profitability and relevance in the market. They’ll share their findings with the team, crafting reports to present to other teams or clients on how to grow the business.

Total median salary: $117,000 [6]*

6. Analytics manager

Analytics managers are in charge of translating data into actionable insights for an organization. They typically lead a team of data analysts, coaching them to complete data analytics projects with accuracy and efficiency. Together, they’ll develop strategies, track their performance, and oversee analytics operations. Those analyses will be transformed into reports and communicated to stakeholders.

Total median salary: $184,000 [7]*

Read more: Data Visualization Salary Guide

*All salary data represents total median pay, as sourced from Glassdoor in August 2026, and includes base salary and commissions, bonuses, profit-sharing, and other forms of additional compensation.

What type of degree should you get?

For each of these jobs, a bachelor’s degree in computer science, information technology, statistics, business administration, or graphic design is highly recommended. In most cases, earning a master’s degree can boost your ability to land better, higher-paying job opportunities.

How to get a job in data visualization

You can transition into one of these roles through self-study, online certification programs, or earning a degree.

As organizations generate massive amounts of data, they need professionals who can transform complex information into clear, actionable insights through compelling visual designs. Building your data visualization skills requires a combination of passion for numbers as well as a desire to transform the right data into stunning visualizations. These positions typically combine analytical thinking, design sensibility, and business acumen to help organizations understand their data and make better decisions.

As big data and technology industries continue to grow, customized reports and dashboards will be increasingly important. Here's how to break into the field:

1. Build a portfolio: Create sample dashboards and visualizations using public data sets

2. Learn key tools: Master Tableau, Power BI, or Python/R visualization libraries

3. Develop design skills: Understand color, layout, and chart selection principles

4. Target relevant roles: Look for positions like data analyst, business intelligence analyst, or data visualization specialist

5. Show impact: Demonstrate how your visualizations led to insights or decisions

6. Network: Join data communities, attend meetups, and connect with professionals on LinkedIn

Start with free tools and online courses, then build projects that showcase both technical skills and business understanding.

Explore our free data career resources

Browse our Career Resource Hub to gain insights into popular careers, assess your skills, and get tips on resume and interview preparation. Then, check out our free data resources to continue planning your career path.

• Read our Career Chat issue: Getting Started with Data Visualization + Types and Tools

• Watch on YouTube: The Future of Data Visualization: AI & Automation Trends

• Find your path: Data Science Career Quiz: Is It Right for You? Find Your Role

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