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Operations Research Analyst Jobs in Wisconsin (NOW HIRING)

ULINE

Research Analyst

Kenosha, WI · On-site

Research Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to turn your research and presentation skills into business impact? At Uline, your curiosity drives success.

ULINE

Research Analyst

Pleasant Prairie, WI · On-site

Research Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to turn your research and presentation skills into business impact? At Uline, your curiosity drives success.

Uline

Research Analyst

Pleasant Prairie, WI

Research Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to turn your research and presentation skills into business impact? At Uline, your curiosity drives success.

ULINE

Research Analyst

Milwaukee, WI

Research Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to turn your research and presentation skills into business impact? At Uline, your curiosity drives success.

Uline

Research Analyst

Pleasant Prairie, WI

Research Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to turn your research and presentation skills into business impact? At Uline, your curiosity drives success.

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All JobsOperations Research Analyst JobsOperations Research Analyst Jobs in Wisconsin

Operations Research Analyst information

See Wisconsin salary details

$43.9K

$103.4K

$137.3K

How much do operations research analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for operations research analyst in Wisconsin is $103,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $117,600.00 per year, depending on experience, location, and employer.

What are Operations Research Analysts?

Operations Research Analysts are professionals who use advanced mathematical and analytical methods to help organizations solve problems and make better decisions. They analyze complex systems, gather data, and develop models to improve processes, increase efficiency, and reduce costs. Their work is essential in industries such as manufacturing, logistics, healthcare, finance, and government. By leveraging techniques like statistical analysis, optimization, and simulation, Operations Research Analysts provide actionable insights to support strategic and operational planning.

Is operation research a good career?

Operations Research Analysts apply mathematical modeling and analytical methods to help organizations solve complex problems and improve decision-making. The field offers strong job growth, competitive salaries, and opportunities across industries such as logistics, healthcare, and finance. Success typically requires skills in statistics, programming, and problem-solving, often supported by a relevant degree or certification.

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 analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges Operations Research Analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

How much do operations research analysts make in the US?

Operations research analysts in the US earn a median annual salary of around $85,000, with salaries typically ranging from $60,000 to $120,000 depending on experience, education, and location. They often use analytical tools and mathematical modeling to improve organizational efficiency and decision-making.

What Is an Operations Research Analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

What do operations research analysts do?

Operations research analysts use mathematical models, statistical analysis, and optimization techniques to solve complex problems related to logistics, resource allocation, and process efficiency. They analyze data to improve decision-making and often work with specialized software tools. Strong analytical skills and knowledge of programming or modeling languages are essential for this role.

Is a research analyst a good career?

Operations Research Analysts analyze data and develop models to improve decision-making and efficiency in organizations. The role typically requires strong analytical skills, proficiency with software tools like Excel or specialized modeling programs, and often a relevant degree such as operations research, mathematics, or engineering. It is considered a stable career with opportunities for advancement in various industries such as logistics, healthcare, and finance.
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Operations Research Analyst jobs near you

Operations Research Analyst

Foxconn WI

Mount Pleasant, WI

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

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.