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Data Visualization Jobs in Manassas, VA (NOW HIRING)

Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of this role ...

Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of this role ...

Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and ...

Senior Data Visualization Engineer

Mclean, VA ยท On-site

$120K - $170K/yr

Overview Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources ...

Senior Data Visualization Engineer

Mclean, VA ยท On-site

$120K - $170K/yr

Overview Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources ...

Showing results 41-60

Data Visualization information

See Manassas, VA salary details

$54K

$109.4K

$161.5K

How much do data visualization jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data visualization in Manassas, VA is $109,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 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 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 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.

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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are popular job titles related to Data Visualization jobs in Manassas, VA?

For Data Visualization jobs in Manassas, VA, the most frequently searched job titles are:

What cities near Manassas, VA are hiring for Data Visualization jobs?

Cities near Manassas, VA with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Manassas, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,426 per year, or $52.6 per hour.

Senior Data/Visualization Engineer

Global Enterprise Services, LLC

Fort Belvoir, VA โ€ข On-site

$129K - $155K/yr

Other

Posted 26 days ago


Job description

GES is seeking a highly skilled Data Analyst specializing in data visualization to join our team. The primary focus of this role is to design, develop, and maintain informative dashboards and reports utilizing Power BI and MicroStrategy. The successful candidate will play a critical mission-support role by transforming complex datasets into clear, actionable insights that directly facilitate business strategy, decision-making, and IT Operations sustainment in support of critical mission requirements enhancing the reliability and security of Department of War (DoW) networks and systems.
Primary Responsibilities
  • Dashboard Development - Design, build, and deploy interactive dashboards, reports, and dossiers using Power BI and MicroStrategy
  • IT Operations Support -Identify, extract, and analyze relevant data specifically in support of IT Operations and system sustainment initiatives.
  • Data Integration & ETL - Extract, transform, and load (ETL) data from disparate structured and unstructured data sources to prepare it for analysis and visualization.
  • Stakeholder Collaboration - Partner with business leaders and IT decision-makers to gather requirements and translatebusiness needs into technical visualization specifications.
  • Data Analysis - Interrogate and analyze complex datasets to uncover critical trends, patterns, and insights that supportstrategic initiatives.
  • Optimization & Quality Assurance -Validatedata accuracy, troubleshoot reporting anomalies, andoptimizedashboardperformance for end-users.
  • User Enablement - Provide guidance, documentation, and training to end-users on how to effectively interact with andinterpret the visualization tools.
  • Documentation & Standards - Develop andmaintaincomprehensivedocumentation, standard operating procedures, anddata dictionaries in support of delivered products.
  • Compliance & Documentation: Ensure all toolscomply withDoWSTIGs and IL5/IL6/IL7 protocols; develop andmaintain architectural documentation and compliance traceability.
  • Education -Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, or a relatedfield

Required Qualifications:
  • RequiresBSand 8+ years of prior relevant experience orMasterswith 6+ years of prior relevant experience,additionalyears of experience will be accepted in lieu of a degree.
  • Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI)requiredat time of hire.
  • Certification: Active IAT Level II certification (e.g., Security+ CE,CySA+, GSEC, or SSCP) required.
  • Citizenship: United States Citizenship is required.
  • Core Experience: Proven professionaltrack recordin data analysis, business intelligence, and building data visualizations for enterprise use.
  • Domain Knowledge: Familiarity with IT Operations and sustainment, including a strong understanding of how to identify and apply relevant data to support these functions.
  • Data Integration / ETL: Experience with data extract, transform, and load (ETL) techniques using disparate structured and unstructured data sources.
  • Technical Proficiency: Advanced hands-on experience with Power BI (including DAX and Power Query) and MicroStrategy (including Dossiers and standard reporting).
  • Database Skills: Strong command of SQL and experience querying complex relational databases and data warehouses.
  • Communication: Excellent verbal and written communication skills, with the ability to present technical data findings clearly to non-technical audiences.

Desired Qualifications:
  • Advanced Scripting: Familiarity with Python or R for advanced data manipulation and statistical analysis.
  • Certifications: Relevant industry certifications in Power BI (e.g., Microsoft Certified: Data Analyst Associate) orMicroStrategy.
  • Data Architecture: Understanding of data warehousing concepts and advanced semantic layer modeling.