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Modeling Simulation Analyst Jobs in Middletown, CT

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Business Analytics Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Analyze technical drawings and 3D models to determine machining strategy * Select tooling, speeds ... and simulation/verification software * Solid understanding of machine code (G-code/M-code) and ...

Showing results 21-40

Modeling Simulation Analyst information

See Middletown, CT salary details

$39.5K

$102.5K

$145.8K

How much do modeling simulation analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for modeling simulation analyst in Middletown, CT is $102,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $131,100.00 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 is a modeling simulation analyst?

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 cities near Middletown, CT are hiring for Modeling Simulation Analyst jobs? Cities near Middletown, CT with the most Modeling Simulation Analyst job openings:

Senior Electric Grid Planning Analyst

ISO New England, Inc.

Windsor, CT • On-site

$105K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
ISO New England is at the forefront of the transformation to a clean energy grid in the Northeast. As advanced technologies integrate into the power grid, the electricity demand and generation mix of the power system will experience a major shift and require innovative solutions to create a reliable and efficient grid. The Capacity Requirement and Accreditation group within System Planning seeks an innovative engineer or Analyst to meet these exciting challenges.
NOTE: This role is currently located in Windsor, CT until it permanently moves to Holyoke, MA, which is currently expected to occur in 2028.
What we offer you:
  • Hybrid work environment - 3 days/week onsite
  • Distance-based relocation assistance available
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Onsite luncheon spaces with free coffee and a variety of dining options
    • Flexible work hours
    • Employee Business Networks
  • A stable, mission-driven workplace where your impact truly matters

How you will make an Impact
The individual will support regional and national resource capacity planning and accreditation initiatives of capacity auction reforms by contributing technical analyses, study development, and stakeholder engagement activities. This role supports the implementation and refinement of methodologies used to assess resource contributions to system adequacy and reliability and represents the organization in regional and national forums by providing analytical support for studies, committees, and regulatory discussions.
  • Perform bulk power system simulations using industry standard software tools, including but not limited to GE MARS, SERVM, and PLEXOS
  • Provide technical and procedural leadership by coordinating and facilitating work within the ISO and across a wide range of stakeholders, including Market Participants, NEPOOL and ISO committees, and regional and national regulatory entities
  • Collaborate with ISO staff and external consultants to conduct resource adequacy and reliability studies, and prepare clear, comprehensive written reports documenting objectives, assumptions, methodologies, results, and recommendations
  • Support and actively participate in internal and external regional and national committees, task forces, and working groups, as required
  • Respond to data and information requests from regional and national reliability organizations, as well as state and federal regulators
  • Effectively communicate complex analyses to diverse stakeholder audiences

What we are looking for
  • Bachelor's degree in engineering, science, statistics, or a related field, with a minimum of 5-10 years of progressively responsible experience in resource adequacy and reliability studies
  • Demonstrated ability to work independently, bringing a high degree of judgment, patience, and attention to detail, while collaborating effectively across teams and communicating complex technical concepts clearly in both written and verbal formats
  • Knowledge of the New England generation and transmission system, including planning practices, real time operational considerations, and system topology

Desired not required:
  • Graduate degree in engineering, science, statistics, or a related field
  • Demonstrated expertise in probabilistic resource adequacy metrics (e.g., LOLE, EEU) and/or economic production cost modeling, including the ability to guide methodological discussions and assumptions
  • Proven experience working within the ISONE/NEPOOL framework, with the ability to effectively engage in committee and stakeholder forums
  • Familiarity with NPCC, NERC, ISONE, and/or FERC reliability and regulatory requirements
  • Prior hands-on experience applying probabilistic modeling tools in resource adequacy or reliability analyses
  • Strong analytical and problem-solving skills, with working knowledge of at least one programming language (e.g., Python, R, MATLAB, or SAS);

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for this position is $105,000 - $135,000 per year. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
#LI-HYBRID
This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.