Manufacturing Data Analytics Engineer

AUMOVIO Germany GmbH; Calamba; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

AUMOVIO Germany GmbH is seeking an analytical tools engineer to develop and maintain data-driven manufacturing solutions. You will design, implement, and optimize software that enhances cost efficiency, performance, and product quality on the shop floor.

You will drive adoption of AI-powered tooling and ensure seamless integration into daily operations, providing ongoing support for systems like Label AI Verify, Transparent Line, and Material Release Tool to minimize downtime and support

Qualifications

• Bachelor’s degree in Engineering, Data Science, or related field.
• Proficiency in SQL, Python and Excel for data analysis.
• Familiar with MES/ERP systems (e.g., SAP) and strong problem-solving skills.

Responsibilities

• Create, maintain, and improve analytical tools and systems for data-driven decisions in manufacturing.
• Design, develop, and maintain manufacturing software to improve cost efficiency, performance, and product quality.
• Facilitate AI-driven solution adoption by shopfloor personnel and integrate into daily operations.
• Provide ongoing support and enhancements for critical systems such as Label AI Verify, Transparent Line, Material Release Tool, and related applications, ensuring minimal downtime and continuous process improvements.

Skills

SQL

Python

Excel

Education

Bachelor’s degree in Engineering, Data Science, or related field

Tools

SAP

Job description

Job Description Responsible for the creation, maintenance, and continuous improvement of analytical tools and systems that support manufacturing data-driven decision-making. Designs, develops, and maintains manufacturing-related software solutions aimed at improving cost efficiency, operational performance, and product quality.

Facilitates the adoption and effective use of AI-driven solutions by shopfloor personnel, ensuring proper integration into daily operations. 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. Ensures uninterrupted system functionality and continuous process improvements, minimizing downtime and supporting overall production efficiency

Qualifications Bachelor’s degree in Engineering, Data Science, or related field. Skills in SQL, Python, Excel

Familiar with MES/ERP systems (e.g., SAP) Strong problem-solving and data analysis skills Additional Information

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