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What we offer:Job Responsibilities:
Company Overview:
Magna Seating of America is seeking a data-driven Data Scientist / Data Analyst to modernize automotive purchasing by transforming legacy, manual processes into AI-enabled, scalable workflows.
Key Responsibilities: -
- Analyze purchasing and supplier datasets to identify cost drivers and performance trends
- Develop insights to support sourcing and negotiation decisions - Convert manual workflows into AI-enabled and automated solutions
-Build tools for quote comparison, cost tracking, and reporting automation - Develop dashboards (Power BI or similar) to drive visibility and decision-making - Partner with Purchasing, Engineering, Finance, and IT teams
Minimum Qualifications:
Bachelor’s degree in Data Science, Engineering, Finance, or related field
2+ years of experience in data analytics or data science
Strong passion for numbers and data-driven decision making
Technical Skills:
Advanced Excel (modeling, pivots)
Data visualization tools (Power BI preferred)
SQL and/or Python (preferred)
Preferred Experience:
Automotive or manufacturing environment
Purchasing or supplier analytics exposure
Experience with cost models and raw material 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.
Worker Type:
Group:
Skills Required
- Bachelor's degree in Data Science, Engineering, Finance, or related field
- 2+ years of experience in data analytics or data science
- Advanced Excel (modeling, pivots)
- Strong passion for numbers and data-driven decision making
- Data visualization tools (Power BI preferred)
- SQL and/or Python
- Automotive or manufacturing environment experience
- Purchasing or supplier analytics exposure
- Experience with cost models and raw material analysis
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
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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.











