Job Description

Location: Melaka
Job ID: HRC0867046Job description
In your new role you will:

• Responsible to lead and/or coach end-to-end data analytics & automationprojects covering MNC semiconductor backend sites. Key roles shouldinclude but not limited to identify data source (data exploration), dataextraction, preparation, processing, analyzing data trends,correlations, finding patterns, translating big data into usefulinsights to drive business and operational decisions with datavisualization.
• Be the subject matter expert related to manufacturing excellence framework, able to coach and guide cross-site engineers, such as statistical, Performance Matching Analysis, Auto Triggering & etc.
• Leverage advanced data analysis & scripting skills to build semi-auto/automated engineering solutions for complex data analyses and models, transforming mass production data into meaningful insights and actionable plans/tasks. Use systematic approaches to strive towards proactive problem solving regarding backend manufacturing excellence framework and concept.
• Build infrastructure to capture meaningful learnings & insights and develop input-process-output models for effective production control and future references.
• Collaborate and partner with domain experts/subject matter experts (e.g. FI/IT) to build applications and tools toward Artificial Intelligence and industry 4.0 standards; simplify complex works and data to achieve standardized & harmonized practices across backend sites.
• Understand the business context, identify and scope business requirements and priorities, formulate problem/opportunity statements through rigorous information gathering and analysis as well as clarification of the solutions, initiatives and programs to enable effective delivery.

Your profile
You are best equipped for this task if you have:

• Master\'s degree or minimum Bachelor\'s degree in the following discipline such as Data Science, Computer Science, Engineering, or a related field.
• Demonstrated in-depth statistical knowledge application in the semiconductor manufacturing environment and mathematical know-how.
• Experience in Leading or coaching global backend organizations, to define infrastructure & script end-to-end automated engineering solutions for high-volume manufacturing environments, as well as leveraging big data to strive for speedy problem-solving & prevention analyses across sites.
• Competent in driving complex or highly integrated problem-solving and solutions through data mining/analysis, experience in process/yield integration will be an added advantage.
• Demonstrated excellence skills in collaborating with cross-functional teams will be crucial.
• Experience in scripting/programming languages such as Knime, Python, R, Scala & data visualization tools e.g. Tableau, Power BI and techniques.

Driving decarbonization and digitalization. Together.Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant\xc2\xb4s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.Does this sound like just the right challenge for you? If so, we look forward to getting to know you!(It only takes 90 seconds)

Infineon