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Modeling Simulation Analyst Jobs in West Virginia

... analysis. Assist the Simulation Technology Specialist to maintain an appropriate inventory of ... Understand the use and operation of relevant simulation modalities ranging from anatomic models ...

... analysis. Assist the Simulation Technology Specialist to maintain an appropriate inventory of ... Understand the use and operation of relevant simulation modalities ranging from anatomic models ...

Static code analysis (manual and/or tool-supported). * Modeling, including MATLAB/Simulink, Enterprise Architect, MagicDraw. * Spacecraft & system simulation. * Application of Formal Methods (e.g ...

Requirements analysis. * Modeling, including MATLAB/Simulink, Enterprise Architect, MagicDraw. * Spacecraft & system simulation. * Application of Formal Methods (e.g., SMT Solver). * Application of ...

Develop new cost tools, digital models, and virtual production simulations to improve cost ... Demonstrated skill in identifying, analyzing, and solving problems driven by data. * Must have ...

... analysis while fostering strong relationships with clients, industry partners, and internal ... Deep knowledge of transient stability, EMT, harmonics, power system modeling, and simulation ...

... analysis, or a related technical field * Proficiency with power system simulation software and modeling tools * Familiarity with Microsoft Excel for technical tables and Microsoft Word for report ...

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Modeling Simulation Analyst information

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$15

$36

$59

How much do modeling simulation analyst jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for modeling simulation analyst in West Virginia is $36.09, according to ZipRecruiter salary data. Most workers in this role earn between $24.95 and $45.24 per hour, depending on experience, location, and employer.

What does a modelling analyst do?

A modeling analyst develops and uses mathematical and computational models to simulate real-world systems or processes, often to support decision-making or optimize performance. They analyze data, create simulations using tools like MATLAB or Python, and validate models to ensure accuracy, typically working in industries such as engineering, finance, or defense.

What job makes $10,000 a month without a degree?

A Modeling Simulation Analyst can potentially earn $10,000 or more per month with extensive experience and specialized skills in modeling, simulation software, and data analysis. High-paying roles in this field often require strong technical expertise, certifications, and the ability to work in industries like defense, aerospace, or manufacturing, but may not always require a formal degree if skills are demonstrated through experience and training.

What are the key skills and qualifications needed to thrive as a Modeling Simulation Analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

What is a modeling and simulation analyst?

A modeling and simulation analyst develops and uses computer models to replicate real-world systems or processes for analysis and decision-making. They often work with specialized software, such as MATLAB or Simulink, and require strong analytical skills and knowledge of systems engineering or related fields.

How does a Modeling Simulation Analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

Is 3D modeling a high paying job?

Modeling Simulation Analysts often work with 3D modeling tools and simulations, and salaries can vary based on experience, industry, and location. Generally, roles requiring advanced technical skills and specialized software tend to offer higher compensation, especially in sectors like aerospace, automotive, or defense. However, 3D modeling alone is not always among the highest-paying jobs without additional expertise or certifications.

What are Modeling Simulation Analysts?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What are popular job titles related to Modeling Simulation Analyst jobs in West Virginia? For Modeling Simulation Analyst jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in West Virginia look for? The top searched job categories for Modeling Simulation Analyst jobs in West Virginia are:
What cities in West Virginia are hiring for Modeling Simulation Analyst jobs? Cities in West Virginia with the most Modeling Simulation Analyst job openings:
Senior Staff Engineer, Operations Analysis (R4759)

Senior Staff Engineer, Operations Analysis (R4759)

Shield AI

Charleston, WV

$96K - $132K/yr

Full-time

Posted 15 days ago


Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI’s aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. 

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI’s AI-powered platforms perform in realistic and contested operational environments. 
What you'll do:
  • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
  • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
  • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
  • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
  • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
  • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
  • Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
  • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders. 
  • Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
  • Be a force multiplier by coaching and developing incoming talent.
Required qualifications:
  • Bachelor’s degree in science, technology, engineering or math domain.
  • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
  • Active Secret at a minimum.  Preferred Top-Secret clearance (or ability to obtain one).
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
    • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.
  • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
    • Experience leading a product effort from pre-shaping to tactical deployment
  • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
    •  Experience developing technical expertise in a team to execute analyses for system design and analysis.
#LI-AD6
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.