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About the Role

This role applies industrial engineering, data analysis, and systems thinking to support analytical models, reporting, and process understanding that drive more consistent, data-informed decisions within supply chain operations. You will partner with various teams to analyze complex processes, improve visibility into performance, and identify opportunities for operational improvement, working through ambiguity to shape problem statements and turn analysis into practical recommendations.

Responsibilities

Develop and support analytical models and reporting that improve visibility into supply chain performance and complexity
Work across ambiguous or evolving problem areas to help define issues, structure analysis, and inform next steps
Analyze how master data and operational processes affect planning and execution outcomes
Identify drivers of variability, instability, and process defects across procurement, planning, and fulfillment activities
Take initiative in using data exploration and process understanding to clarify problems and uncover improvement opportunities
Build and maintain dashboards, datasets, or reporting used to monitor supply chain performance and data quality
Document process flows and data dependencies across upstream and downstream supply chain activities
Apply industrial engineering methods, process analysis, and statistical thinking to support operational improvement initiatives
Validate assumptions, parameters, and data inputs used in supply chain planning and analysis
Communicate findings and recommendations clearly to both technical and non-technical stakeholders
Support implementation of recommendations in partnership with more experienced team members and cross-functional stakeholders

Requirements

Bachelor’s degree in industrial engineering, engineering, business analytics, or a related field
Up to 5 years of relevant experience in industrial engineering, supply chain, operations, analytics, or a related field
Foundational experience in data analysis, statistics, or process improvement through coursework, internships, or professional work
Strong analytical and problem-solving skills, with the ability to work independently and navigate ambiguity
Interest in supply chain operations, data modeling, and process improvement
Strong communication skills and attention to detail
Comfort working in a dynamic environment where priorities, data availability, or problem definitions may evolve

Skills

Data analysis
Systems thinking
Industrial engineering
Process analysis
Statistical thinking
Excel
SQL
Python
Data visualization platforms
Power BI
Modeling
Simulation
Statistical analysis techniques
ERP systems
Data quality
Process standardization
AI tools

Location

United States

Work Type

Full-time

Experience Level

Up to 5 years

Education Level

Bachelor’s degree

Benefits

Medical insurance plans
Dental coverage
Vision coverage
Employee Assistance Program
401(k)
Tuition reimbursement
Employee resource groups
Recognition programs
Flexible time off plans
Paid parental leave
Vacation leave
Holiday leave

About the Company

Emerson is a global leader in automation technology and software.
Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
Emerson implements digital transformation to measurably improve operations, conserve valuable resources and enhance safety.
Emerson offers equitable opportunities, celebrates diversity, and embraces challenges.
Emerson is motivated by a spirit of collaboration that helps diverse, multicultural teams across the world drive innovation.
Emerson has built an engaged community of inquisitive, dedicated people who are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems.
Emerson is a proud corporate citizen in every city where it operates and is committed to its people, communities, and the world at large.

Equal Opportunity

Emerson is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status.
We are committed to providing a workplace free of any discrimination or harassment.