Senior Data Analytics Quality Engineer

Job Description

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

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.

Automated Data Dashboard and Real time analytics

• Perform Data modeling and Transformation for interactive dashboards (e.g., using Spotfire) to track supplier’s 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. 

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 industry’s 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 21,000 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 people’s 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. Let’s 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.