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Computational Data Analytics Jobs in Virginia (NOW HIRING)

Amentum

Data Analyst

Mclean, VA · On-site

Providing support to the Sponsor's business analytics stakeholders whenever needed. * Apply AI and ... Systems, or Computational Linguistics. * A strong background in data analysis, with a strong ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA · On-site

... Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience in bioinformatics or healthcare analytics.

Pae

Data Analyst

Mclean, VA

Providing support to the Sponsor's business analytics stakeholders whenever needed. * Apply AI and ... Systems, or Computational Linguistics. * A strong background in data analysis, with a strong ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

... Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience in bioinformatics or healthcare analytics.

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

... Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience in bioinformatics or healthcare analytics.

Guidehouse

Senior Data Scientist

Chantilly, VA

S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

Guidehouse

Senior Data Scientist

Chantilly, VA · On-site

S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

Guidehouse

Senior Data Scientist

Chantilly, VA

S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

Noblis

Data Scientist and Instructor

Springfield, VA · On-site

... Computational Thinking, Programming, Statistics, or Data Visualization). * 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data ...

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All JobsComputational Data Analytics JobsComputational Data Analytics Jobs in Virginia

Computational Data Analytics information

See Virginia salary details

$24

$54

$93

How much do computational data analytics jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for computational data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

How does a Computational Data Analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a Computational Data Analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

Is 40 too late for data science?

Computational Data Analytics professionals can enter the field at any age, as success depends on skills, experience, and continuous learning. Many data scientists start or transition into the field later in life by acquiring relevant certifications, programming skills, and domain knowledge. Age is less important than your ability to adapt and develop expertise in tools like Python, R, and SQL.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role of a data analyst involves skills like critical thinking, communication, and understanding business context, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

Is data analytics a high paying job?

Data analytics is generally considered a well-paying field, especially for roles like computational data analysts who possess strong skills in programming, statistics, and data visualization tools. Salaries tend to increase with experience, certifications, and advanced technical expertise, making it a lucrative career option in the tech industry.

What field is the highest paid data analyst?

Data analysts working in finance, investment banking, and technology tend to have the highest salaries, especially those with advanced skills in machine learning, statistical analysis, and proficiency in tools like SQL and Python. Specializing in these high-demand industries and obtaining relevant certifications can lead to higher compensation.
What are popular job titles related to Computational Data Analytics jobs in Virginia? For Computational Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Data Analytics jobs in Virginia look for? The top searched job categories for Computational Data Analytics jobs in Virginia are:
Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Data Analyst / Data Visualization Specialist (Clearance Required)

Patriot Solutions Group, INC.

Washington, VA • On-site

Full-time

Posted 11 hours ago

Job description

Company Description
PSG, INC. is an agile consulting firm with competencies in Business Operations, Human Capital Management, Finance & Program Management, IT, Security, Research & Data Science, Recruiting and Business Process Re-Engineering.
PSG is an industry leader in Financial Management, Program and Acquisition Management, and Business Process Improvement - providing innovative solutions for data-centric organizations. We are experts, highly skilled at creating solutions that enable complex business processes. Our solutions range from internally developed software solutions for industry-specific challenges, to large-scale, multi-faceted custom systems. We help our clients improve accuracy, efficiency, and costs. We give managers better control of their processes, provide data to key decision makers, and gain insight into their business processes - collecting, analyzing, and presenting data in ways that empower individuals is what we're all about.
At PSG, we view our clients as partners. We work closely with them to understand their business and its hurdles. Our success is based on our Partner's success - their problem is our passion. PSG leverages progressive technologies to provide technical applications that maximize the value of the organization's data. We help organizations achieve its mission more effectively and efficiently by designing, evaluating, and implementing solutions from a thorough understanding of their business.
Job Description
The Data Analyst shall provide data analytics, data management, and data architecture support. All data related activities shall comply with appropriate laws and policies and take into consideration the protection of individuals' civil liberties and privacy.
Data Analyst / Data Visualization Specialist (Senior)
  • Work with Senior Data Analysts to define and oversee database organizations, standards, controls, procedures, and documentation.
  • Provide technical consulting in the definition, design, and creation of data environments.
  • Advise applications development staff data solutions to business problems, data architectures, data base management system facilities and capabilities.
  • Data Analyst will be responsible to a core functional team, but also to respective skill/discipline teams. The former to be assigned and work daily team activities, and the latter to develop and enhance skills, and to request assistance.

Data Analyst / Data Visualization Specialist (Journeyman)
  • Work with Senior Data Scientist to analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
  • Handle processing and index requests against high-volume collections of data and high-velocity data streams.
  • Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
  • Experience with machine learning, algorithm analysis, and data clustering.
  • Work with more junior Data Scientists to elevate skills for breath and depth in the field.

Qualifications
Required Knowledge / Skills / Abilities:
  • Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Geographic Information Systems, Information Security, Information Technology (IT), IT Management, Network Administration, Software Development, Technical Writing, or Web Design & Development.
  • Demonstrated relevant expertise supporting U.S. Federal Government as a Database Administrator/Manager/Systems Engineer, with hands-on experience with database standards and end user applications.
  • Minimum five (5) years' working knowledge of data backup, recovery, security, integrity and Structured Query Language (SQL). These five (5) years must be concurrent with the requisite years of work experience.
  • Minimum five (5) years' working knowledge of database design, data modeling, and data mining techniques, query creation and report generation, documentation, coding, DBA case tools (frontend/backend) with third party tools, and programming languages application programming interface (API). These five (5) years may be concurrent with the requisite years of work experience.
  • Minimum five (5) years' working knowledge of statistical packages for analyzing large datasets. These five (5) years may be concurrent with the requisite years of work experience.
  • Ability to effectively establish and execute strategic and critical task priorities to demonstrate problem-solving skills, and to think algorithmically.
  • Strong knowledge and experience with reporting packages and databases (SQL preferred), and some programming (JavaScript, XML, or ETL frameworks).

Desired Knowledge / Skills / Abilities:
  • Ability to understand U.S. Federal Government business needs, with strong analytical and organizational skills.

Additional Information
Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.
All your information will be kept confidential according to EEO guidelines.

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