Operations Research Analyst

Foxconn WI; Mount Pleasant (WI); Presencial; USD 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

Life insurance

401(k) with employer contribution

Paid time off (personal, vacation, and

Descripción de la vacante

FII USA, Inc. in Wisconsin seeks an Operations Research Analyst to analyze production data and build optimization models to improve efficiency across manufacturing operations.

The role sits within the Production Department in an office/production environment and offers exposure to Lean, Six Sigma and digitalization initiatives. The analyst will develop data-driven models, identify process improvements, and support production optimization while collaborating with Manufacturing, Quality,

Formación

• 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

Responsabilidades

• 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

Conocimientos

Analytical skills

Problem solving

Data visualization

Communication skills

Multitasking

Educación

Industrial Engineering

Operations Research

Data Science

Mathematics

Herramientas

Python

R

SQL

Descripción del empleo

Operations Research Analyst

Department: GL6 Production

Employment Type: Full Time

Location: SMC

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.