Automation & Analytics Engineer — AI-Driven Ops for Semiconductors

Cohu Malaysia Sdn Bhd

Malacca City

On-site

MYR 80,000 - 160,000

Full time

6 days ago
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Benefits offered by this job

Five-Day Work Week
Flexible Working Arrangement
Profit Sharing
Overseas Opportunities

Job summary

Cohu Malaysia Sdn Bhd is recruiting an Operations Analytics and Automation Engineer to drive operations excellence by turning manual processes into automated, data-driven systems. You will design, deploy and sustain automation, analytics and AI-augmented solutions to improve safety, quality, delivery and cost.

You'll build end-to-end data pipelines, dashboards and real-time analytics, integrate MES/ERP data, and apply statistical methods to optimize yield and productivity while ensuring

Qualifications

  • Bachelor’s degree or equivalent experience.
  • Experience in object oriented programming (OOP).
  • Strong analytical skills with ability to drive quantitative analysis.

Responsibilities

  • Design, develop, deploy and sustain automation, analytics and AI-augmented solutions that improve safety, quality, delivery, cost and scalability.
  • Design and maintain end-to-end data pipelines integrating MES, ERP, engineering, quality, test and supplier data.
  • Develop dashboards, reports and analytics that provide real-time visibility into operational performance, risks and trends.
  • Apply analytics and statistical methods to support root cause analysis, yield improvement, defect reduction, and productivity optimization.
  • Develop and maintain automation scripts, services and applications that eliminate manual data handling and repetitive tasks.

Skills

OOP
C#
Java
C++
Excel VBA
DAX
M Language
SQL
Python
R

Education

Bachelor's degree

Tools

SQL

Job description

Cohu Malaysia Sdn Bhd is recruiting an Operations Analytics and Automation Engineer to drive operations excellence by turning manual processes into automated, data-driven systems. You will design, deploy and sustain automation, analytics and AI-augmented solutions to improve safety, quality, delivery and cost.

You'll build end-to-end data pipelines, dashboards and real-time analytics, integrate MES/ERP data, and apply statistical methods to optimize yield and productivity while ensuring

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