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$94

How much do computational data analytics jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for computational data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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.

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 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.

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.

More about Computational Data Analytics jobs
What cities are hiring for Computational Data Analytics jobs? Cities with the most Computational Data Analytics job openings:
What states have the most Computational Data Analytics jobs? States with the most job openings for Computational Data Analytics jobs include:
What job categories do people searching Computational Data Analytics jobs look for? The top searched job categories for Computational Data Analytics jobs are:
Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Computational Modeling Data Analyst

Computational Modeling Data Analyst

Innovative Reasoning

Quantico, VA • On-site

Full-time

Posted 28 days ago

Job description

Provide on-site Computational Modeling Data Analysis, and subject matter expertise in support to Maritime Expeditionary Warfare, Headquarters Marine Corps, Deputy Commandant for Combat Development & Integration, Marine Corps Combat Development Command, located at Quantico, VA.
Responsibilities/Duties:
  • Reporting and Dashboards:
    • Identify and extract essential information from web instances or Excel files.
    • Once identified, data must be shown effectively/efficiently through presentations, working papers, and various dashboard technologies to inform leaders.
  • Simulation modeling and analysis:
    • Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, sensitivity analysis.
  • Risk Analysis:
    • Apply Qualitative, quantitative and decision risk analysis techniques for risk identification/evaluation, risk handling, risk monitoring and risk management.
    • Conduct Quantitative Risk Analysis including:
      • Probabilistic Risk Assessment of platform performance, cost, and schedule.
      • Decision Risk Analysis includes applying risk and cost benefit techniques in decision making associated with significant risk or uncertainty.
    • Probability and statistical analysis:
      • Provide analytic process models, including various probability distributions (normal, binomial, Poisson, exponential, lognormal), probabilistic measures of system performance, data summaries (graphical and numerical), confidence intervals, hypothesis tests, regression analysis (single and multiple predictors), single-factor analysis of variance, and basic time-series analysis.

Supplemental Duties:
  • Provide essential actions required to develop relational databases and management systems using Microsoft Excel, Access, or other Department of Defense-approved database tools.
    • Includes extracting information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.

Supervisory Responsibilities:
  • None

Education:
REQUIRED
  • Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.

PREFERRED
  • BS in Computational Modeling & Data Analytics.

Skills/Qualifications and Certifications:
  • Must be comfortable presenting work to audience; must have ability to present and engage in a technical presentation to a non-technical audience.

Experience:
  • Experience in RStudio (preferred), or Python.
  • Experience in building dashboards: Power BI, R Shiny, Tableau, etc.

Location: The primary workplace will be the Marine Corps Combat Development Command, General Raymond G. Davis Center (Bldg. 3300), 3300 Russell Rd, Quantico, VA 22134.
Work Environment:
  • On-site Office Environment, amongst mixed military/civilian/contractor personnel.
  • Employees will be exposed to a wide variety of people with differing functions, personalities, and abilities.
  • Remote work may be authorized, in coordination with client.

Physical Demands:
  • Work is generally sedentary; there could be a requirement to assist in moving and repositioning computer systems, servers, and other office equipment weighing no more than 50 pounds per person (e.g., two-man lift 100 lbs.).
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Schedule: Full Time/40 hours per week. Mon-Fri/8 hours a day. Normal working hours are 8:00 AM - 4:00 PM (0800 - 1600).
License and Other Requirements:
  • Hold a valid US Driver's License, with ability to operate private, and commercial owned motor vehicles (Rental), as required for commuting and travel.
  • Must be able to obtain a contractor's common access card, which will stand as identification for instructors and will enable them to access government owned computer equipment and Non-secure Internet Protocol.

Salary and Benefits: As stated during the interview/hiring process.
Security Clearance: Possess or be eligible to posses an active U.S. Secret level security clearance. As required, obtain a Secure Internet Protocol (SIPR) access token for access to government SIPR computers terminals.
Travel: Travel to other government and/or contractor facilities, and/or ships may be required. Travel may be required on weekends and could include CONUS and OCONUS locations. The exact dates and duration of travel will vary dependent upon location and requirements of individual events to include planning, attendance at meetings, conferences, and/or wargames.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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