Industrial Engineer

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What we offer:

Group Summary:

Industrial Engineer wanted in Moore, SC to analyze and optimize inventory management strategies to reduce excess stock and improve visibility using SAP MM, SAP EWM, Power BI, Tableau, SQL, ERP, PREP, AutoCad, Flex Sim Software, Spaghetti Analysis and Time Study Analysis; lead continuous improvement initiatives using Lean principles, reducing cycle times, waste, and operational costs using Minitab, Microsoft Excel, Kaizen; conduct workflow analysis and time studies to improve productivity and throughput using data-driven insights using Flex Sim, Microsoft Excel, Tableau, and MOST Analysis. Responsible for implementation and optimization of SAP WMS solution; implementation and management of Plan-For-Every Part system; continuous improvement project for cost reduction initiatives; time and motion study analysis for internal logistics planning; responsible for cost analysis and planning for implementation of automation initiatives to help transition to Industry 4.0 and 5.0 goals; use AutoCAD software for design and development of organization processes; capacity planning for the facility with the help of data analysis; packaging management and packaging improvement initiatives; internal logistics planning and management; responsible for APQP process for all changes related to process, material flow, packaging and presentation; and data analysis of complex data sets to analyze and evaluate to make decision for process improvement. Requires a Master's degree in Supply Chain Management and Logistics or Supply Chain Management and 6 months of related experience as an Industrial Engineer, Supply Chain Specialist, Supply Chain Analyst Intern or Supply Chain Intern. The related experience must include analyze and optimize inventory management strategies to reduce excess stock and improve visibility using SAP MM, SAP EWM, Power BI, Tableau, SQL, ERP, PREP, AutoCad, Flex Sim Software, Spaghetti Analysis and Time Study Analysis; lead continuous improvement initiatives using Lean principles, reducing cycle times, waste, and operational costs using Minitab, Microsoft Excel, Kaizen; conduct workflow analysis and time studies to improve productivity and throughput using data driven insights using Flex Sim, Microsoft Excel, Tableau, and MOST Analysis.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.