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What we offer:Job Responsibilities:
Job Profile: The Manufacturing Data Analyst supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance. Working closely with IT, engineering, and operations teams, this role develops data-driven solutions and actionable insights that support smart manufacturing and continuous improvement.
QUALIFICATIONS NECESSARY TO DO THE JOB:
- Immediate, open position
- $90,000 - $125,000 annual compensation
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Data Science, or a related discipline.
- Proven experience as a Data Scientist or similar role, with a focus on AI and Industry 4.0 projects, preferably in the automotive industry.
- Proficient in programming languages such as Python, R, or SQL, C Sharp with a solid understanding of data structures and algorithms.
- Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
- Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
- Experience with data visualization tools (e.g., Power BI) to present complex data insights effectively.
- Excellent problem-solving skills with the ability to analyze and interpret complex datasets.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams, including IT, engineers, and manufacturing personnel.
- Self-motivated, with the ability to work independently and manage multiple projects simultaneously.
- Prior experience or knowledge of exterior trim parts manufacturing process, specifically co-extrusion, assembly, and molding, is preferred.
MAIN RESPONSIBILITIES
- Lead industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co-extrusion processes.
- Collaborate with cross-functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems
- Develop and maintain data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
- Collect, validate, and manage production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
- Design, develop, and optimize machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
- Perform statistical analysis, experimentation, and predictive modeling to identify trends, solve business problems, and drive continuous improvement initiatives.
- Develop dashboards, reports, and visualizations that communicate actionable insights to both technical and non-technical stakeholders
- Ensure compliance with data governance, privacy, security, and documentation standards while maintaining data systems and workflows
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:
Group:
Skills Required
- College diploma in relevant Information Technology field
- Cisco CCNA certification
- Minimum 10 years of related experience in a large and complex environment
- Strong background in Windows Server administration
- Strong background in Active Directory
- Networking experience (LAN/WAN, switches, routers, VLANs)
- Proficiency with virtualization technologies (VMware, VDI, HyperV)
- Previous helpdesk and troubleshooting experience
- Experience managing DNS, DHCP, backups, patches, security and email systems
- Ability to support VMware and VDI environments including other virtualization software
- Experience supporting enterprise applications (e.g., AS/400, Microsoft 365)
- Proven troubleshooting and root cause analysis capabilities
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Company materials highlight comprehensive medical, dental, vision, disability and life insurance in the U.S., paired with wellness initiatives and a confidential Employee & Family Assistance Program.
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Retirement Support — U.S. filings and recruiting pages describe a 401(k) with a 50% match on the first 6%, a deferred profit‑sharing component, and at some sites a 3% base company contribution after six months.
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Strong & Reliable Incentives — Profit sharing and performance‑linked rewards are embedded in the total‑rewards philosophy and documented in filings, with recent materials indicating these programs remain active.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
