Manufacturing Data Analytics Engineer
This role bridges manufacturing operations and data science by developing AI-driven tools to optimize production efficiency, ensuring seamless adoption by shopfloor teams while maintaining critical systems like Label AI Verify. The ideal candidate will leverage Python, SQL, and data engineering skills to build scalable solutions that reduce downtime and enhance product quality in a real-time manufacturing environment.
Skills required
About this role
1. Responsible for the creation, maintenance, and continuous improvement of analytical tools and systems that support manufacturing data-driven decision-making.
2. Designs, develops, and maintains manufacturing-related software solutions aimed at improving cost efficiency, operational performance, and product quality.
3. Facilitates the adoption and effective use of AI-driven solutions by shopfloor personnel, ensuring proper integration into daily operations.
4. Provides ongoing support and enhancements for critical systems such as Label AI Verify, Transparent Line, Material Release Tool, and other related applications essential to manufacturing processes.
5. Ensures uninterrupted system functionality and continuous process improvements, minimizing downtime and supporting overall production efficiency
Qualifications
1. Bachelor’s degree in Engineering, Data Science, or related field.
2. Skills in SQL, Python, Excel
3. Familiar with MES/ERP systems (e.g., SAP)
4. Strong problem-solving and data analysis skills
Additional Information
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