Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

Operations Research Analyst

Data ScienceUpdated on Nov 13

Full-timeMt Pleasant, WI, USANo salary listedIn-person

About the Job

Requirements

A Bachelor's degree in Industrial Engineering, Operations Research, Data Science, Mathematics, or a related field is required.
One to three years of experience in data analysis, operations research, or manufacturing analytics is preferred.
Strong analytical and problem-solving skills with experience in statistical modeling and optimization techniques.
Experience working with large datasets and data visualization tools is preferred.
Proficiency in Excel and data analysis tools such as Python, R, SQL, or similar is preferred.
Familiarity with manufacturing key performance indicators such as OEE, takt time, and yield is preferred.
Knowledge of Lean, Six Sigma, or continuous improvement methodologies is preferred.
Strong communication skills and 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 is preferred.
Ability to sit, stand, and walk in an office and production environment and lift up to 25 pounds.

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.
Perform other duties as assigned.

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.

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

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

About the Company

Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

Foxconn Industrial Internet designs and manufactures technology infrastructure for large tech firms, focusing on intelligent manufacturing and the industrial internet. It combines hardware design and production with software-enabled solutions, including AI and automation platforms like Lighthouse Factory, the FII Cloud (with Tencent Cloud), and Fog Cerebellum, to help clients digitize data and optimize production lines. It differentiates itself through large-scale integration as a design-to-manufacture partner, exclusive assembly of premium Nvidia GB200 AI servers, and a strong push into higher-margin cloud, networking, and industrial AI services backed by Foxconn. Its goal is to move from traditional contract manufacturing to high-value technology services, expanding its AI-server, data-center, EV, and semiconductor test automation businesses with scalable intelligent manufacturing solutions.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Shenzhen, China
Founded: 2015

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