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Operations Research Analyst
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Posted on: Nov 12, 2026
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Mount Pleasant, Wisconsin
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Onsite
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Full-time
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Job Title :
Operations Research Analyst
Job Type :
Full-Time
Job Location :
Mount Pleasant Wisconsin United States
Remote :
No
Job Description :
Job Description
Job Description
Description
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
Qualifications
Reasons you should work for us:
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.
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Position Details
Posted:
Nov 12, 2026
Reference Number:
77621cfe
Employment:
Full-time
City:
Mount Pleasant
Job Origin:
ziprecruiter
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