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Data Visualization Jobs in Virginia Beach, VA (NOW HIRING)

Data Scientist

Chesapeake, VA · On-site

$100K - $135K/yr

... Visualization tools (such as Tableau and Advana Databricks) with the raw data source. • Gather and analyze data, organize, and document findings of studies, and prepare recommendations for ...

... Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis ...

Data Engineer

Newport News, VA · On-site

$101K - $189K/yr

Visualization: Familiarity with data visualization or graph visualization tools. * Defense Clearance Standards: Experience supporting defense, intelligence, operational, or other complex mission ...

Environmental Data Analyst

Hampton, VA · On-site

$72K - $82K/yr

Use data visualization and reports to communicate and explain findings. * * Examine equipment, facilities, and operations, such as wind tunnels and other industrial facilities, and provide data ...

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI clearance ...

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI clearance ...

Data Architect

Portsmouth, VA · On-site

$62.50 - $80.25/hr

Experience with business intelligence and data visualization tools such as Power BI or Tableau. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and ...

Data Analysis Tutor

Norfolk, VA · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Build interactive dashboards and reports utilizing enterprise visualization tools to deliver clear insights to senior leadership. * Act as lead and oversee data governance. * Present information and ...

JR. Data Scientist

Chesapeake, VA · On-site

$80K - $84K/yr

Understanding of data visualization best practices and dashboard/report design * Awareness of data governance, data integrity, and quality assurance principles * Basic knowledge of relational ...

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Data Visualization information

See Virginia Beach, VA salary details

$51.2K

$103.9K

$153.3K

How much do data visualization jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data visualization in Virginia Beach, VA is $103,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $116,700.00 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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.

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 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.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Virginia Beach, VA? The most popular types of Data Visualization jobs in Virginia Beach, VA are:
What are popular job titles related to Data Visualization jobs in Virginia Beach, VA? For Data Visualization jobs in Virginia Beach, VA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Virginia Beach, VA look for? The top searched job categories for Data Visualization jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Data Visualization jobs? Cities near Virginia Beach, VA with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Virginia Beach, VA as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $103,871 per year, or $49.9 per hour.
Data Scientist

Data Scientist

MI Technical Solutions

Chesapeake, VA • On-site

$100K - $135K/yr

Full-time

Posted 25 days ago


Job description

MI Technical Solutions is a Woman-Owned Small Business (WOSB) comprised of a broad range of talented employees that provide diversified engineering and technical support services since 2004! Our team works tirelessly to build a respected, results-oriented brand. We are headquartered in Chesapeake, VA with employees located near each of the Navy Fleet Centers within the continental United States (San Diego, Jacksonville, Seattle, New England, Norfolk) as well as Hawaii and Japan.


*Must have active DoD Security Clearance*


Position Description:

MI Technical Solutions is seeking a Data Scientist to join its team. In this role, the Data Scientist is responsible for gathering and analyzing data, organizing, and documenting findings of

studies, and preparing recommendations for implementing new systems, procedures, or organizational changes.


Responsibilities:

• Provide senior level oral and written communication skills to effectively communicate with higher command levels (GS-15, O-6 level) orally and in writing.

• Provide support using Naval data sources and repositories, Ship Maintenance databases, Shipyard databases, and Ship Supply databases.

• Provide advanced experience related to importing daily/weekly/monthly data sources, running pre-programmed macros, and relaying issues experienced to the development team.

• Provide advanced experience working with data visualization tools.

• Validate outputs from Data Visualization tools (such as Tableau and Advana Databricks) with the raw data source.

• Gather and analyze data, organize, and document findings of studies, and prepare recommendations for implementing new systems, procedures, or organizational changes.

• Collate information into meaningful reports and presentation material.

• Metamorphose raw data into viable and readable formats for display, and decision utilization by leadership.

• Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources, some described above.

• Use statistical analysis and other data science methodologies to identify patterns, trends, and insights within data sets.

Proficiency in coding languages is essential to this role utilizing common programming languages including, but not limited to, Python and R.


Requirements:

• DoD Secret Clearance

• Bachelor's degree in Computer or Data Science

• Minimum of 5 or more years’ experience in the use of data visualization software and advanced ability in utilizing common programming languages to include Python and R

• Minimum of 5 or more years’ experience handling project planning and scheduling data such as with Microsoft Project or other schedule management tools

• Minimum of 5 or more years’ experience with Microsoft Products, including Word, Excel, Outlook, and PowerPoint

• Minimum of 5 years’ experience monitoring the operation of assigned programs, collected data, and responds to problems by diagnosing and correcting errors in logic and coding

• Minimum of 5 years’ experience in providing a full range of data science methodologies to produce meaning insight from numerous and diverse data sources

• Effective writing, speaking, and analytical skills


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.