Qualifications
Bachelor’s Degree – Manufacturing Engineering or equivalent.
Strong knowledge and practical experience with SIMIO and SIEMENS.
Strong knowledge and practical experience in Manufacturing Operation Patterns
Strong knowledge and practical experience in estimating production volumes and efficiencies
Strong knowledge and practical experience with Operational Equipment Efficiency (OEE) concepts
Strong knowledge and practical experience with statistical analyses (descriptive, inferential)
Strong knowledge and practical experience with 2D CAD
Strong knowledge and practical experience in MS Excel, Macro development (VBA, C#)
Strong knowledge and practical experience in MySQL or similar
Strong knowledge and practical experience in Python
Strong knowledge and practical experience with Design of Experiments (DOE)
English language (fluent speaking/writing/reading)
Strong presentation and communication skills
Essential Duties
Validating and analyzing production processes with minimum supervision
Building Static and Dynamic Simulation models with focus on throughput improvement, de-bottlenecking, buffer optimization, process improvement with minimum supervision
Building Static and Dynamic Simulation models with focus on under-the-roof material flow, fleet estimation, congestion analysis, layout optimization with minimum supervision
Building process charts to represent man-machine/process sequences (Cycle Time Charts - CTCs) with minimum supervision
Troubleshooting complex situations involving multiple variables and conditions with minimum supervision
Conducting statistical analysis of Key Performance Indicators (KPIs) with minimum supervision
Building and analyzing what-if scenarios with focus in KPI improvement with minimum supervision
Making technical assumptions and offering alternative approaches within a framework of customary practices with minimum supervision
Interacting with stakeholders from the organization and customer divisions to collect, validate and analyze process data with minimum supervision
Collecting data (on-site/off-site) to build, calibrate and validate models with minimum supervision
Making data-driven recommendations related to cost-benefit matters regarding scenarios analyzed
Building clear, actionable reports with minimum supervision
Managing project data and meta-data, including procurement, logging, and dealing with unclear/incomplete information with minimum supervision
Mitigating errors or mistakes as soon as identified with minimum supervision
Decision-making on project time and scope, provided no engineering changes are necessary, with minimum supervision
Observing work related timelines, scope, and quality requirements with minimum supervision
Following operational procedures, work-standards, and divisional guidelines with minimum supervision
Requesting timely and appropriate support from team-members and superiors when necessary
Developing modeling libraries
Providing support or instruction to co-workers
Supporting hiring panels, interviews, related to the role
Supporting other divisional activities and tasks
Travel Requirements
Travel globally, subject to business needs: up to 30% of work hours
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.
Worker Type
Regular / Permanent
Group
Magna Electronics
