Operations Research Analyst
Foxconn WI, Mount Pleasant, WI, United States
Department: Oracle L10/L11
Location: 868
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.
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Location: 868
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.
#J-18808-Ljbffr