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Modeling Simulation Analyst Jobs in Miami, FL (NOW HIRING)

Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making. * Design and ...

Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making. * Design and ...

Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making. * Design and ...

Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate ... Familiarity with wireless fading model simulation. Knowledge of Layer 2 and above. * Strong ...

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Modeling Simulation Analyst information

See Miami, FL salary details

$37.3K

$96.8K

$137.7K

How much do modeling simulation analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for modeling simulation analyst in Miami, FL is $96,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $123,900.00 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 Miami, FL? For Modeling Simulation Analyst jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in Miami, FL look for? The top searched job categories for Modeling Simulation Analyst jobs in Miami, FL are:
What cities near Miami, FL are hiring for Modeling Simulation Analyst jobs? Cities near Miami, FL with the most Modeling Simulation Analyst job openings:
Pricing Analyst, Financial Products

Pricing Analyst, Financial Products

Intermex Wire Transfer

Kendall, FL

Full-time

Posted 28 days ago


Job description

The Pricing Analyst, reporting to Director of Pricing, is responsible for analyzing, optimizing, and continuously refining the company's pricing strategy across assigned territories and vendors. This role serves as the analytical engine behind pricing decisions—leveraging advanced analysis, forecasting, and scenario modeling to predict outcomes, guide tradeoffs, and drive sustained improvements in price realization and gross margin.

As a strategic pricing partner to Sales Operations and Regional Sales Leadership, the Pricing Analyst translates market signals and economic insights into actionable pricing decisions. This role operates as both a strategic advisor and hands‑on individual contributor, driving pricing initiatives end‑to‑end while proactively adjusting course based on performance, market response, and competitive dynamics.

Key Responsibilities

  • Own pricing strategy execution with a strong emphasis on continuous optimization, performance measurement, and directional pivots based on real‑world results.
  • Act as a strategic thought partner to the Sales Organization by evaluating pricing tradeoffs between volume, margin, competitiveness, and customer behavior.
  • Identify when pricing strategies are underperforming and recommend corrective actions, alternative price structures, or tactical adjustments.
  • Develop and maintain pricing models, elasticity analyses, and scenario simulations to forecast the impact of pricing decisions on demand, revenue, margin, and customer retention.
  • Perform pre‑ and post‑implementation pricing analysis to quantify impact versus expectations and refine future strategies.
  • Build forward‑looking business cases that compare alternative pricing strategies and predict outcomes under different market conditions.
  • Use historical performance, deal‑level data, and customer behavior patterns to anticipate risks and opportunities.
  • Monitor evolving market conditions, competitor pricing moves, customer buying behaviors, and cost drivers to inform proactive pricing adjustments.
  • Lead competitive pricing and value positioning analyses, translating market insights into differentiated pricing recommendations.
  • Analyze industry and customer trends to identify emerging pricing opportunities, structural risks, and long‑term margin implications.
  • Analyze industry trends, competitor offerings, product economics, and margin drivers, synthesizing findings into clear recommendations for management.\
  • Partner with Sales Operations to ensure pricing strategies are executable, scalable, and supported by tools and processes.
  • Track pricing performance KPIs (price realization, discounting behavior, margin leakage) and recommend interventions where targets are missed.
  • Drive adoption of pricing changes by clearly articulating the "why," expected impact, and success metrics to stakeholders.

Qualifications

  • Bachelor's degree in Analytics, Statistics, Finance, Business, or a related field (or equivalent professional experience).
  • Demonstrated ability to develop predictive pricing models, scenario analyses, and data‑backed recommendations.
  • Experience in Forex, Trading and revenue analysis is desired
  • Strong analytical skills with exceptional attention to detail and accuracy.
  • Effective written, verbal, and presentation skills, with the ability to influence without direct authority.
  • Willingness to learn, listen, and share pricing expertise with stakeholders.

#IMXIHQ

Intermex Wire Transfer LLC. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

When accepting employment with Intermex Wire Transfer LLC., you authorize Intermex to conduct a background check as part of the hiring process. This includes a review of your criminal history, education, and employment history. You have the right to receive a copy of the background check report if you request it. This authorization is in accordance with the Fair Credit Reporting Act.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Intermex Wire Transfer LLC. makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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