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Linear Programming Analyst Jobs in Illinois (NOW HIRING)

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Chicago, IL ... Lead preparation of feasibility studies, alternative analyses, and basis of design reports for a ...

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Chicago, IL ... Lead preparation of feasibility studies, alternative analyses, and basis of design reports for a ...

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Chicago, IL ... Lead preparation of feasibility studies, alternative analyses, and basis of design reports for a ...

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Chicago, IL ... Lead preparation of feasibility studies, alternative analyses, and basis of design reports for a ...

Apply linear referencing techniques and concepts * Work with Utility and Pipeline Data Model (UPDM ... Bachelor's degree in Geography (GIS), Engineering, Computer Science, or related field AND 3+ years ...

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Linear Programming Analyst information

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$45

$66

How much do linear programming analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for linear programming analyst in Illinois is $45.04, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $54.76 per hour, depending on experience, location, and employer.

What does a linear programming analyst do?

A Linear Programming Analyst specializes in using mathematical models to optimize processes and decision-making in various industries. They formulate problems as linear equations and inequalities, then use computational techniques to find the best possible solutions within given constraints. Their work often helps organizations minimize costs, maximize profits, or efficiently allocate resources. These analysts collaborate with management and technical teams to interpret data and implement solutions. They play a critical role in industries like logistics, manufacturing, finance, and operations research.

What are the key skills and qualifications needed to thrive as a linear programming analyst?

To thrive as a Linear Programming Analyst, you need a solid background in mathematics, operations research, and data analysis, typically supported by a degree in mathematics, engineering, or a related field. Proficiency in optimization software such as CPLEX or Gurobi, programming languages like Python or MATLAB, and familiarity with data visualization tools are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and present complex solutions to stakeholders. These competencies are essential for developing efficient models that drive informed decision-making and optimize organizational performance.

What are some common challenges faced by linear programming analysts when implementing optimization solutions in real-world business settings?

Linear Programming Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing complex constraints that may not be easily translated into mathematical models, and ensuring stakeholder buy-in for recommended solutions. Additionally, real-world problems can change over time, requiring analysts to frequently update and adapt their models. Effective communication is also crucial, as analysts must explain technical results to non-technical team members and collaborate with various departments to ensure successful implementation.

What is the difference between Linear Programming Analyst vs Operations Research Analyst?

AspectLinear Programming AnalystOperations Research Analyst
Required CredentialsBachelor's degree in mathematics, statistics, or related field; certifications like CAP or PMPBachelor's or master's in operations research, mathematics, or engineering; similar certifications
Work EnvironmentCorporate offices, consulting firms, government agenciesSimilar settings, often in consulting, government, or large corporations
Industry UsageSupply chain, logistics, manufacturing, financeLogistics, transportation, healthcare, manufacturing
Job FocusDeveloping and applying linear programming models to optimize processesAnalyzing complex systems to improve decision-making using various analytical methods

Both roles involve analytical skills and quantitative modeling, but Linear Programming Analysts primarily focus on linear models for optimization, while Operations Research Analysts use a broader range of techniques to solve complex problems across industries.

What job categories do people searching Linear Programming Analyst jobs in Illinois look for?

The top searched job categories for Linear Programming Analyst jobs in Illinois are:

Infographic showing various Linear Programming Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,682 per year, or $45 per hour.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Mundelein, IL • On-site

Other

Posted 26 days ago


Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!