Production Data Analyst (Shelby Township)

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Job Number: 65054 
Group: Magna Powertrain  
Division: MPT Sterling Heights 
Job Type: Permanent/Regular 
Location: SHELBY TOWNSHIP 
Work Style:  

 

About us

We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.

 

Forward. For all.

 

Group Summary

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

 

About the Role

• The Production Data Analyst is responsible for analyzing and interpreting production data specific to the automotive industry. This role plays a crucial role in optimizing production efficiency, reducing costs, and ensuring high-quality standards are met within the automotive parts manufacturing company.  
• All aspects involved in program management function from cradle to grave. The Production Data Analyst will collaborate with cross-functional teams to develop data-driven solutions and provide actionable insights to drive operational excellence in the automotive manufacturing process.

Your Responsibilities

• Collaborate with team members in all functional departments to collect and categorize requirements to develop templates for business KPIs and reporting.  Analyze large amounts of information to discover trends and patterns.  Identify valuable data sources and automate collection processes. Selecting features, building and optimizing classifiers using machine-learning techniques. Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data used for analysis. Creating automated anomaly detection systems and constant tracking of its performance. Present information using data visualization techniques. Develop interactive dashboard to monitor core KPIs using Power BI or other tools to provide live visual shop floor data.  Responsible for promoting and seeking excellence in all aspects of business. Participates in continuous improvement activities, submits Cost saving improvement suggestions, CIP’s.
• Supports the implementation of Mafact. Develop and maintain databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality in the automotive production process. Generate reports and visualizations tailored to the needs of the operations and management team to communicate findings and recommendations to stakeholders. Conduct root cause analysis to identify factors impacting production efficiency, quality, and cost and develop solutions and strategies to overcome business challenges.
• Manage multiple projects and deliverables while treating team members with dignity and respect and in accordance with the Magna Employee’s Charter and Common Values. Ensure that company policies and procedures are adhered to. Collaborate with cross-functional teams to develop and implement data-driven solutions to improve automotive production processes and reduce waste.
• Monitor and evaluate the effectiveness of implemented solutions in the automotive sector and make adjustments as necessary and implement process improvements.  Stay up-to-date with industry trends and advancements in data analysis techniques and tools. Provide training and support to production teams on data analysis tools and techniques.

Who we are looking for

Your preferred qualifications

• Bachelor’s degree in the field of Information Management, natural sciences, Business Analytics, Mathematics,Quantitative Analysis or similar study.
• Strong administrative skills. Proficient with Microsoft Acce