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Operations Research Jobs (NOW HIRING)

Operations Research Analyst An Operations Research Analyst wanted by Formosa Plastics Corporation, U.S.A. in Livingston, New Jersey. Job duties: * Apply mathematical modeling and statistical analysis ...

ITA is seeking an Operations Research Analyst to join our team. Responsibilities Join a growing company supporting Installations Commands across the public sector with analytic, modeling, and ...

ASRC Federal is seeking an Operations Research Analyst for anticipated openings in 2025. This is a pipeline requisition to collect resumes in preparation of future hiring . We proudly support the US ...

The Operations Research Analyst will leverage their strong technical background and knowledge to introduce quantitative and qualitative analysis to the decision-making processes by developing and ...

Operations Research Analyst

Alpharetta, GA

$95K - $112K/yr

Operations Research Analyst JOB DUTIES: Analyze and optimize end-to-end supply chain performance using quantitative models and systems; develop automation solutions, support data-driven decisions ...

$49K/yr

BASIC REQUIREMENTS: degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject ...

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$38.5K

$93.8K

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How much do operations research jobs pay per year?

As of Jul 9, 2026, the average yearly pay for operations research in the United States is $93,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $115,500.00 per year, depending on experience, location, and employer.

Is operations a high paying job?

Operations Research professionals often have high earning potential, especially with advanced degrees like a master's or Ph.D. and experience in data analysis, optimization, and modeling. Salaries vary by industry, location, and level of expertise, but the field generally offers competitive compensation compared to many other roles in management and analytics.

What are the key skills and qualifications needed to thrive as an Operations Research Analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

Is operations research in high demand?

Operations research is a growing field with strong demand across industries such as manufacturing, logistics, and healthcare. Professionals with skills in data analysis, optimization, and simulation are sought after to improve efficiency and decision-making processes.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

What can I do with a degree in operations research?

A degree in operations research prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, where they apply mathematical modeling, optimization, and statistical analysis to improve decision-making processes. Skills in programming, data analysis, and familiarity with tools like Excel, R, or Python are often essential. These professionals work in industries like manufacturing, logistics, finance, and consulting to optimize systems and processes.

What Are the Qualifications to Get a Job in Operations Research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

What are some typical challenges faced by professionals in Operations Research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.

What do you do in operations research?

Operations research involves analyzing complex systems and using mathematical models, algorithms, and data analysis to improve decision-making and optimize processes. Professionals in this field often work with tools like linear programming, simulation, and statistical analysis to solve problems in logistics, supply chain, scheduling, and resource allocation.
What cities are hiring for Operations Research jobs? Cities with the most Operations Research job openings:
What are the most commonly searched types of Operations Research jobs? The most popular types of Operations Research jobs are:
What states have the most Operations Research jobs? States with the most job openings for Operations Research jobs include:

Operations Research Analyst

Foxconn WI

Mount Pleasant, WI

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Description
FII USA, Inc., a Foxconn Technology Group Company, is seeking an Operations Research Analyst to analyze production data and develop optimization strategies to improve efficiency across manufacturing operations. Once a part of the team, you will be responsible for a wide variety of tasks within the Production Department in an office/production environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing.

The Operations Research Analyst will develop data-driven models, identify process improvements, and support production optimization efforts while assisting this Production Department as needed.

Responsibilities
  •  Analyze production data from final assembly lines including assembly, testing, and packing processes
  •  Develop optimization models to improve line balancing, cycle time, throughput, and labor efficiency
  •  Identify bottlenecks in production processes and recommend data-driven improvements
  •  Support production planning, scheduling, and capacity optimization initiatives
  •  Apply statistical methods to analyze defects, improve yield, and reduce variability
  •  Collaborate with Manufacturing, Quality, Engineering, and Supply Chain teams to support operational improvements
  •  Design simulations and predictive models to evaluate production scenarios and resource allocation
  •  Monitor and report key performance indicators including OEE, takt time, throughput, and first pass yield
  •  Develop dashboards and reports to provide actionable insights to leadership and operations teams
  •  Support continuous improvement initiatives using Lean, Six Sigma, and data analytics methodologies
  •  Assist in automation and digitalization efforts by integrating data analytics into manufacturing systems
  •  Validate data accuracy and ensure integrity across reporting systems and databases
  •  Identify trends and patterns in production performance to support decision-making
  •  Present findings and recommendations to cross-functional stakeholders and leadership
  •  Other Duties as assigned 

Qualifications
  •  Bachelor’s Degree in Industrial Engineering, Operations Research, Data Science, Mathematics, or related field required
  •  1–3 years of experience in data analysis, operations research, or manufacturing analytics preferred
  •  Strong analytical and problem-solving skills with experience in statistical modeling and optimization techniques
  •  Experience working with large datasets and data visualization tools preferred
  •  Proficiency in Excel and data analysis tools (e.g., Python, R, SQL, or similar) preferred
  •  Familiarity with manufacturing KPIs such as OEE, takt time, and yield preferred
  •  Knowledge of Lean, Six Sigma, or continuous improvement methodologies preferred
  •  Strong communication skills with the ability to translate data into actionable insights
  •  Ability to manage multiple priorities in a fast-paced manufacturing environment
  •  Experience with MES, ERP, or production data systems preferred
  •  Ability to sit, stand, and walk in an office and production environment and lift up to 25 pounds 

Reasons you should work for us:
  • Comprehensive benefits package including medical, dental, and vision insurance coverage.
  • Basic life insurance and short-term disability coverage provided by employer.
  • Supplemental life insurance and long-term disability coverage options available.
  • 401K with employer contribution.
  • Personal, Vacation, and Holiday paid time off for all full-time employees.
  • Onsite Aurora Health & Wellness Center available for all employees.
  • Employees are continuously encouraged to learn and grow their careers in smart manufacturing.