Senior Data Analytics Quality Engineer

Renesas is seeking for a Data analytics supplier quality engineer for its Outsourced foundry assembly and test subcontractor management. The Data Analytics SQE hybridizes subcontractor quality assurance with advanced data analytics for data visualization statistical modeling to track predict and resolve manufacturing variabilities and supply chain continuity.  This role will build the foundations for smart manufacturing. This task requires weekend support on a rotational basis.

Key Responsibilities

1. Supplier Data Integrity Management

Define and work with subcontractors on establishing internal database. Support the data pipeline development and maintain ELT (Extract Load Transform).  Implement automated testing write data validation scripts and establish data governance to ensure data integrity and accuracy.

2. Automated Data Dashboard and Real time analytics

Perform Data modeling and Transformation for interactive dashboards (e.g. using Spotfire) to track suppliers key output responses and defect rates in real-time.  

Support quick data analysis for identifying drifts in manufacturing line for immediate feedback loop for immediate counter action plan execution. 

3. Manufacturing metrics improvements through continuous improvement initiatives

Analyze manufacturing data trends to identify deviations for mid to long term optimization. 

Qualifications :

• Degree in electrical/mechanical engineering or relevant field
• Minimum 2 years of relevant experience in data analysis
• Possess statistical analysis knowledge
• Experienced in semiconductor products and processes (Fab Assembly Test Post Test)
• Agile and highly motivated personalities.
• Hands-on experience with problem-solving methodologies such as 8D 5-Why and Fishbone analysis
• Experience in using analysis software (E.g: JMP Minitab Spotfire PowerBI)
• Excellent communication and interpersonal skills when working with internal and external functional groups.

Want (Preferred)

• Experience or knowledge in data analytics or predictive analysis.  
• Proven ability to influence team and drive timely resolution of potential quality issues
• Experience working with Artificial Intelligence (AI) and Machine Learning(ML) Digital Twins Cloud & Edge Computing.

Additional Information :

Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
 
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable power-efficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.     
 
At Renesas you can: 

• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  

• Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure. 

• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.    

Are you ready to own your success and make your mark  

Join Renesas. Lets Shape the Future together.  

Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.

Remote Work :

No

Employment Type :

Full-time