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Data Visualization Jobs in Virginia (NOW HIRING)

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable ...

Peraton

Data Visualization Specialist

Herndon, VA

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable ...

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable, high ...

Guidehouse

Data Visualization Expert

Springfield, VA · On-site

The Data Visualization Expert is responsible for transforming complex, disparate programmatic data into clear, compelling visual narratives that support strategic decision-making across a major ...

Guidehouse

Data Visualization Expert

Springfield, VA · On-site

The Data Visualization Expert is responsible for transforming complex, disparate programmatic data into clear, compelling visual narratives that support strategic decisionmaking across a major ...

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Data Visualization information

See Virginia salary details

$53.5K

$108.5K

$160.1K

How much do data visualization jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data visualization in Virginia is $108,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $121,900.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Virginia? The most popular types of Data Visualization jobs in Virginia are:
What are popular job titles related to Data Visualization jobs in Virginia? For Data Visualization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Virginia look for? The top searched job categories for Data Visualization jobs in Virginia are:
What cities in Virginia are hiring for Data Visualization jobs? Cities in Virginia with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $108,512 per year, or $52.2 per hour.