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Modeling Simulation Analyst Jobs in Milwaukee, WI

Kiongroup

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

Collect, validate, and analyze data while detailing model assumptions and functional specifications. * Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

Kiongroup

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

Collect, validate, and analyze data while detailing model assumptions and functional specifications. * Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141.40K/yr

As a member of the modeling team, you will develop and apply numerical models to simulate the end ... Proficiency with Microsoft 365/Excel, including basic macros/VBA for data analysis and reporting.

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site

$103K - $141.40K/yr

As a member of the modeling team, you will develop and apply numerical models to simulate the end ... Proficiency with Microsoft 365/Excel, including basic macros/VBA for data analysis and reporting.

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Modeling Simulation Analyst information

See Milwaukee, WI salary details

$38.4K

$99.8K

$141.9K

How much do modeling simulation analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for modeling simulation analyst in Milwaukee, WI is $99,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $127,600.00 per year, depending on experience, location, and employer.

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.

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.

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 Milwaukee, WI? For Modeling Simulation Analyst jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in Milwaukee, WI look for? The top searched job categories for Modeling Simulation Analyst jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Modeling Simulation Analyst jobs? Cities near Milwaukee, WI with the most Modeling Simulation Analyst job openings:
Modeling Simulation Analyst jobs near you
Infographic showing various Modeling Simulation Analyst job openings in Milwaukee, WI as of May 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $99,761 per year, or $48 per hour.

Simulation Engineer

Kiongroup

Wauwatosa, WI • On-site, Remote

$65K - $140K/yr

Full-time

Posted 22 days ago

Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:

  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:

  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:

  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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