Manufacturing Data Analytics Engineer

Aumovio SE; Calamba; On-site; PHP 600,000 - 800,000; Full time

Job summary

Aumovio SE in Calamba, Laguna is seeking a skilled professional to create and maintain analytical tools that support data-driven decision-making in manufacturing. The role involves designing and developing software solutions aimed at enhancing cost efficiency, operational performance, and product quality.

The ideal candidate holds a Bachelor’s degree in Engineering or Data Science and possesses skills in SQL, Python, and Excel. It is crucial to facilitate AI solution adoption on the shopfloor, ensuring systems function seamlessly for improved production efficiency.

Responsibilities

• Responsible for the creation, maintenance, and continuous improvement of analytical tools and systems.
• Designs and develops manufacturing-related software solutions.
• Facilitates the adoption of AI-driven solutions by shopfloor personnel.
• Provides ongoing support for critical systems essential to manufacturing processes.
• Ensures uninterrupted system functionality and continuous process improvements.

Skills

SQL

Python

Excel

Problem-solving

Data analysis

Education

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

Tools

MES/ERP systems (e.g., 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.