Operations Research Analyst

Description

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.