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Data Visualization Jobs in Aldie, VA (NOW HIRING)

Dev Technology

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust in DHS or a component of DHS highly preferred What You'll Be Doing: You will be working with an ...

Dev Technology

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust in DHS or a component of DHS highly preferred What You'll Be Doing: You will be working with an ...

Dev Technology

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust in DHS or a component of DHS highly preferred What You'll Be Doing: You will be working with an ...

Steampunk

Senior Data Visualization Engineer

Mclean, VA · 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 ...

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All JobsData Visualization JobsData Visualization Jobs in Aldie, VA

Data Visualization information

See Aldie, VA salary details

$53.3K

$108.1K

$159.4K

How much do data visualization jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data visualization in Aldie, VA is $108,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $121,400.00 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.
More about Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Aldie, VA?

The most popular types of Data Visualization jobs in Aldie, VA are:

What job categories do people searching Data Visualization jobs in Aldie, VA look for?

The top searched job categories for Data Visualization jobs in Aldie, VA are:

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

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

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Aldie, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,061 per year, or $52 per hour.

Data Visualization Specialist

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Posted 6 days ago

Job description

BT-408 - Data Visualization Specialist
Location: Chantilly, VA (fully on-site, no remote option)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
This Data Scientist will support a client office that collaborates with internal/external offices to curate and contextualize enterprise level information about Sponsor resources and activities in support of corporate metrics and increasing workforce effectiveness.
This position will provide data analysis support to address complex business and intelligence questions at an enterprise level and translate complex, technical findings into an easily understood narrative.
The candidate MUST have experience using Tableau and experience creating data visualization mockups, prototypes of visualizations, and experience documenting work processes and effectively demonstrating products to technical and non-technical audiences.
Experience using a data preparation tool, such as Tableau Prep, is preferred. Other skills/technologies that are desired include Python, SQL, SharePoint, Jira, and Confluence.
Required Skills and Demonstrates Experience
  • Demonstrates experience in two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
  • Demonstrates experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Demonstrates experience creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
  • Demonstrates experience interpreting data models and working with a variety of data sources and structures.
  • Demonstrates experience translating customer requirements into project or system specifications.
  • Demonstrates experience with strong interpersonal and communications skills.
  • Demonstrates experience as a self-starter with the ability to decomposing ambiguous problems into actionable plans.
  • Demonstrates experience using Tableau, Power BI, or similar interactive data visualization software.
  • Demonstrates experience transforming, manipulating, and combining data using a programming language such as Python.
  • Demonstrates experience using a data preparation tool such as Tableau Prep Builder.
  • Demonstrates experience using Excel and SQL.

Highly Desired Skills and Demonstrates Experience
  • Demonstrates experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
  • Demonstrates experience working with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
  • Demonstrates experience with the Sponsor's data handling procedures.
  • Demonstrates experience with visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
  • Demonstrates experience with APIs.
  • Demonstrates experience using GitHub or similar version control systems.
  • Demonstrates experience using Python or R.
  • Bachelor's Degree in a Business analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience with the IC or military may substitute in lieu of degree.

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