Process Analytics & Optimization Engineer

Applied Materials South East Asia; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Applied Materials South East Asia in Singapore is looking for a Process Intelligence Engineer to design, build, and maintain analytics solutions for logistics, supply chain, and manufacturing operations. This role involves close collaboration with engineering and operations to drive data-driven decision-making.

The ideal candidate will have a Bachelor's degree and 4–7 years of relevant experience, particularly in process intelligence and analytics. Proficiency in SQL, Python, and BI tools like Power BI is essential. Join us to contribute to operational visibility and continuous improvement!

Qualifications

• 4–7 years of experience in process intelligence, analytics, dashboarding, or data-engineering adjacent environments.
• Strong proficiency in SQL and Python for analytics and problem-solving.
• Expertise in Power BI, Tableau, or equivalent visualization tools.

Responsibilities

• Design and develop reporting solutions for logistics, supply chain, and manufacturing.
• Develop and maintain dashboards, analytical data models, and KPI frameworks.
• Build ETL data pipelines for integration of large datasets.
• Perform statistical and diagnostic analysis using SQL and Python.

Skills

SQL

Python

Power BI

Tableau

ETL frameworks

Data modeling techniques

Cloud platforms

Communication skills

Education

Bachelor’s degree in Industrial & Systems Engineering, Computer Science, Business Analytics, or related field

Master’s degree preferred

Tools

Azure

Databricks

Snowflake

AWS

GCP

Job description

Applied Materials South East Asia in Singapore is looking for a Process Intelligence Engineer to design, build, and maintain analytics solutions for logistics, supply chain, and manufacturing operations. This role involves close collaboration with engineering and operations to drive data-driven decision-making.

The ideal candidate will have a Bachelor's degree and 4–7 years of relevant experience, particularly in process intelligence and analytics. Proficiency in SQL, Python, and BI tools like Power BI is essential. Join us to contribute to operational visibility and continuous improvement!