Senior Data Analytics SQE — Real-Time Manufacturing Quality

Renesas Electronics Corp.; Shah Alam; Remote; MYR 90,000 - 150,000; Full time

Job summary

Renesas Electronics Corp. is seeking a Data analytics supplier quality engineer for its outsourced foundry, assembly and test subcontractor management.

The role blends supplier quality assurance with advanced data analytics, including visualization and statistical modeling to track manufacturing variabilities and supply chain continuity. This hybrid role builds the foundations for smart manufacturing and requires weekend support on a rotational basis.

Qualifications

• Minimum 2 years of relevant experience in data analysis.
• Statistical analysis knowledge is required.
• Experience with semiconductor products and processes (Fab, Assembly, Test, Post Test).
• Agile mindset and proactive approach to problem solving.
• Hands-on experience with 8D, 5-Why and Fishbone analysis methods.
• Excellent communication and interpersonal skills when collaborating with internal and external groups.

Responsibilities

• Supplier Data Integrity Management: define and work with subcontractors on data pipelines, ELT, and data governance to ensure data accuracy.
• Automated Data Dashboard and Real time analytics: model data and build dashboards (e.g., Spotfire) to monitor supplier outputs and defect rates in real time.
• Manufacturing metrics improvements through continuous improvement initiatives: analyze data trends to identify deviations and guide optimization in mid to long term.

Skills

Data analysis

Statistical analysis

Agile

Problem-solving

Communication

Semiconductor experience

Data analytics

Education

Electrical or Mechanical Engineering degree or equivalent

Tools

JMP

Minitab

Spotfire

PowerBI

Job description

Renesas Electronics Corp. is seeking a Data analytics supplier quality engineer for its outsourced foundry, assembly and test subcontractor management.

The role blends supplier quality assurance with advanced data analytics, including visualization and statistical modeling to track manufacturing variabilities and supply chain continuity. This hybrid role builds the foundations for smart manufacturing and requires weekend support on a rotational basis.