Data Analyst
Data Analyst
- Art der Anstellung: Vollzeit
- Vor Ort
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Data Analyst
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Data Analyst
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- locations
- Bangalore, IN
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
- R00202638
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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
At Magna International’s New Mobility Division, we are pioneering the future of manufacturing through cutting-edge Smart Factory Solutions. Our innovations include Smart Freight, which optimizes truck loading; Smart Pick, a system for forklift digitization; and Autonomous Mobile Robots (AMRs) for seamless internal material handling. Our vision is to unify these technologies into a fully integrated smart suite that enhances efficiency, agility, and intelligence across factory operations. As part of Magna’s commitment to innovation, our team is driving the transformation of traditional manufacturing into a smarter, more connected ecosystem.
Job Summary
We are seeking a skilled and motivated Data Analyst / Research Engineer to join our dynamic team. The ideal candidate will bring a strong foundation in SQL, Python, and dashboard development, along with exposure to AWS and Databricks. This role blends data analysis with machine learning engineering to support and enhance our Smart Factory Solutions
Key Responsibilities
· Analyze complex datasets to drive product and business optimization strategies
· Design and maintain dashboards to visualize key metrics and insights
· Collaborate with cross-functional teams to translate business needs into technical solutions
· Build and optimize data pipelines using SQL, Python, AWS, and Databricks
· Research and develop machine learning models to enhance smart factory capabilities
· Ensure data quality through cleaning, validation, and transformation
· Communicate insights effectively to both technical and non-technical stakeholders
· Stay current with industry trends and emerging technologies in data and ML
Required Qualifications
· Bachelor’s degree in any discipline with relevant experience
· 4–6 years of experience in data analysis and data engineering
· Proficiency in SQL and Python
· Experience with dashboard tools such as Tableau, Power BI, or similar
· Exposure to AWS and Databricks
· Hands-on experience with machine learning tools and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, etc.)
· Strong problem-solving and independent working skills
· Excellent communication and collaboration abilities
Preferred Qualifications
· Certifications in AWS, Databricks, or related technologies
· Familiarity with smart factory systems and industrial automation
· Experience with advanced ML techniques or MLOps tools (e.g., MLflow, SageMaker, etc.)
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.
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