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Senior Data Visualization Jobs (NOW HIRING)

We are seeking a Senior Data Visualization Specialist to lead the development of high-impact visual products, dashboards, and interactive reporting solutions that support Intelligence Community ...

We are seeking a Senior Data Visualization Specialist to lead the development of high-impact visual products, dashboards, and interactive reporting solutions that support Intelligence Community ...

Sr Data Visualization Engineer

Wilmington, NC · On-site

$106K - $128K/yr

Summary The Sr Data Visualization Engineer will provide dedicated Digital Technology support for production data visibility, shop-floor connectivity, and site digital tools at the Wilmington location.

New

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining ... Working with data visualization tools and creating data visualization concepts * Experience ...

Possess the expertise to communicate complex technical and programmatic information to senior ... Data Visualization and Decision Support. The employee shall: * Design, develop, and maintain ...

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Senior Data Visualization information

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$56

$81

How much do senior data visualization jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for senior data visualization in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Visualization vs Data Analyst?

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

What is a senior data visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

What are some common challenges faced by senior data visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

What are the key skills and qualifications needed to thrive as a senior data visualization specialist, and why are they important?

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.
More about Senior Data Visualization jobs
What cities are hiring for Senior Data Visualization jobs? Cities with the most Senior Data Visualization job openings:
What are the most commonly searched types of Data Visualization jobs? The most popular types of Data Visualization jobs are:
What states have the most Senior Data Visualization jobs? States with the most job openings for Senior Data Visualization jobs include:
Infographic showing various Senior Data Visualization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Senior Data Scientist: Analytics & Visualization

Ara

Alexandria, VA • On-site

$100 - $130/hr

Other

Posted 6 days ago


Job description

Ara in Alexandria, Virginia is seeking a Senior Data Scientist to join their Capabilities, Analysis and Development (CAD) division. This opportunity involves providing data analysis and visualization support across the Department of Homeland Security (DHS) mission space. The ideal candidate will work in a multi-disciplinary team developing models, creating visualizations, and delivering insights for national security.

The role requires a Bachelor's or Master's degree in relevant fields, along with experience in data science and Agile methodologies. Proficiency with tools like Python and SQL, coupled with skills in machine learning and data visualization, is essential.

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