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Visual Analytics Jobs in Maryland (NOW HIRING)

Audio Visual Engineer

California, MD · On-site

$120K - $140K/yr

FGS, LLC is an international, leading-edge provider of technical services to include Secure Information Systems, Security and Engineering and Intelligence Analysis. Our turn-key solutions include the ...

... rate analytics to ensure competitive and profitable pricing strategies. The analyst will work ... Experience building reports and dashboards in Power BI or similar visual analytic software is ...

$140 - $175/hr

Primary services include audio visual, video conferencing, digital signage, internet protocol ... Conduct analysis on AVMM systems by ensuring designs are cost efficient, able to be integrated, and ...

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Visual Analytics information

See Maryland salary details

$10

$25

$64

How much do visual analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for visual analytics in Maryland is $25.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $27.98 per hour, depending on experience, location, and employer.

What is visual analytics?

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces. It combines automated data analysis techniques with interactive visualizations to help users understand complex data, identify patterns, and make informed decisions. Professionals in visual analytics use tools and methods from statistics, computer science, and design to turn large datasets into visual representations that are easier to interpret. This field is widely used in business intelligence, scientific research, and many other domains where making sense of large, complex data is crucial.

How does a visual analytics professional typically collaborate with data scientists and business stakeholders?

Visual Analytics professionals often serve as a bridge between technical data teams and business stakeholders. They work closely with data scientists to understand and interpret complex data models, then translate these findings into interactive dashboards or visual reports that are accessible to non-technical decision-makers. Regular collaboration includes iterative feedback sessions, requirement gathering meetings, and workshops to ensure visualizations effectively support business goals. This collaborative environment fosters a shared understanding of data insights and drives better-informed decisions across the organization.

What are the key skills and qualifications needed to thrive as a visual analytics professional, and why are they important?

To thrive as a Visual Analytics professional, you need strong analytical skills, proficiency in data visualization, and typically a background in computer science, statistics, or a related field. Familiarity with technical tools such as Tableau, Power BI, Python, and data management systems is commonly required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting clear insights to stakeholders. These skills are essential for transforming raw data into actionable visual stories that drive informed business decisions.

What is the difference between Visual Analytics vs Data Analyst?

AspectVisual AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; proficiency in visualization toolsBachelor's degree in statistics, mathematics, or related field; strong analytical skills
Work EnvironmentFocus on creating visual representations of data to support decision-makingAnalyze data sets, generate reports, and provide insights
Industry UsageUsed across industries for data storytelling and dashboardsCommonly employed for data reporting and analysis tasks

While both roles involve working with data, Visual Analytics specialists focus on designing visual representations to communicate insights effectively, whereas Data Analysts perform broader data analysis and reporting. Both roles often collaborate but serve different primary functions within data-driven organizations.

Is data visualization a good career?

Data visualization is a valuable career within the field of data analytics, involving creating visual representations of data to communicate insights effectively. It requires skills in tools like Tableau, Power BI, or D3.js and often benefits from knowledge of data analysis and programming. The demand for professionals in this area is growing as organizations seek to make data-driven decisions.

What can you do with visual analytics?

A professional in visual analytics uses data visualization tools and techniques to interpret complex data sets, identify patterns, and support decision-making. They create dashboards, reports, and interactive visuals to communicate insights effectively to stakeholders. Skills in data analysis, visualization software, and understanding of business context are essential for this role.

What are popular job titles related to Visual Analytics jobs in Maryland?

For Visual Analytics jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Visual Analytics job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $53,146 per year, or $25.6 per hour.

Computational Data Scientist

SURVICE Engineering Company

Aberdeen Proving Ground, MD • On-site

$115K - $130K/yr

Full-time

Retirement, PTO

Posted 14 days ago


Job description

Join Us in Making a Difference in the Lives of Those Defending Our Nation!Why SURVICE?Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!PositionComputational Data Scientist Location: Aberdeen Proving Ground, MarylandSecurity Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship requiredSalary: $115,000 - $130,000 Depending on Experience and EducationTravel: 5%Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.Position SummarySURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.Primary Duties and ResponsibilitiesCarry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.Prepare presentations and written documents summarizing efforts in Government formatMinimum Qualifications of Computational Data Scientist Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.Practical experience in applying data science to model complex real-world problems.Proficient in using Python and AI/ML models.Experience in communicating results through reports and presentations.About UsSURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.
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