Product Engineering Technician

onsemi (Nasdaq: ON) delivers intelligent power and sensing technologies that enable electrification, energy efficiency, safety, and automation across automotive, industrial, and AI data center end markets. With a differentiated product portfolio, onsemi helps customers solve complex challenges, improve system performance, and support a safer, cleaner, and smarter world.


onsemi is seeking a self-driven and motivated professional to join the PSG Product Engineering team. As a Product Technician (Cost and Quality), you will work in a dynamic, fast-paced environment supporting the PSG PTE organization in achieving cost and quality objectives.

Responsibilities

• Own and sustain the Product Engineering team’s cost reduction, scrap, and quality dashboards and analysis tools.


• Extract, transform, and load data required to develop new dashboards and analysis tools.


• Support product owners in making data-driven decisions by identifying high-impact focus areas and prioritizing improvement efforts accordingly.


• Collaborate with the Product Engineering team to develop new models and algorithms that identify improvement opportunities in cost, scrap, and quality performance.


• Support report automation initiatives to improve reporting efficiency, consistency, and timeliness.
  
   

Qualifications and Requirements

• Diploma in Information Technology, Engineering, Data Analytics, or an equivalent field.


• Minimum 1–2 years of working experience in a similar capacity or function.


• Strong verbal and written communication skills, with the ability to collaborate effectively across cross-functional teams.


• Advanced programming skills and experience using statistical software such as Excel, Minitab, DataPower, or Exensio.


• Experience with Power BI, Snowflake, SQL, and Python is an added advantage.
  
   

Ideal Candidate Profile

• A strong team player who is detail-oriented and able to perform well under pressure.


• Strong analytical and problem-solving skills, with the ability to perform data analysis, apply structured root-cause methodology, resolve complex technical issues, and drive corrective actions.