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Operations Research Analyst Jobs in Wisconsin (NOW HIRING)

Paper Transport

Market Research Analyst

De Pere, WI · On-site

Market Research Analyst - Dedicated Carrier (Transportation Industry) Position Summary The Market ... Collaborate with sales, operations, and strategy teams to align market intelligence with business ...

Paper Transport

Market Research Analyst

De Pere, WI · On-site

Market Research Analyst - Dedicated Carrier (Transportation Industry) Position Summary The Market ... Collaborate with sales, operations, and strategy teams to align market intelligence with business ...

Baird

Equity Research Analyst

Milwaukee, WI · On-site

The Equity Research Analyst plays an integral role in the research process through providing comprehensive industry and company coverage for both institutional and individual clients. Our Analysts ...

Wisconsin

IRP Research Analyst - BFY

Madison, WI

$55K - $70K/yr

Research Analyst I Job Summary: The Baby's First Years (BFY) study is a first-of-its-kind randomized controlled trial focused on understanding the causal impact of providing an unconditional cash ...

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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 Aug 7, 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 the key skills and qualifications needed to thrive as an operations research analyst?

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?

Operations research analysts in New York City typically earn a median annual salary of around $85,000 to $100,000, depending on experience and industry. Salaries can vary based on factors such as education, certifications, and the complexity of projects handled, with some earning over $120,000 in senior roles.

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.

More about Operations Research Analyst jobs
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Operations Research Analyst jobs near you
Infographic showing various Operations Research Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $103,420 per year, or $49.7 per hour.

Operations Research Analyst

Foxconn WI

Mount Pleasant, WI • On-site

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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.