Senior Analyst, Facility Management Digital Transformation

Infineon Technologies AG; Kulim; On-site; MYR 90,000 - 130,000; Full time

Job summary

Infineon Technologies AG in Malaysia is seeking a Senior Analyst, Facility Management Digital Transformation, to drive data-driven decisions in a high-tech manufacturing environment.

The role focuses on analytics, reporting, and predictive insights to optimize facility operations. You will collaborate with cross-site teams, implement new monitoring methods, and translate data into real-world efficiency gains, while promoting digitalization and data management best practices.

Qualifications

• Degree in data science, IT, engineering, or a comparable field.
• Strong data analytics, reporting and visualization capabilities.
• Experience with predictive analytics and data mining in operations.
• Ability to translate data into business improvements and efficiencies.
• Strong communication and stakeholder management skills.

Responsibilities

• Introduce new analysis methods and monitoring systems.
• Discuss infrastructure improvements with system owners and FSE.
• Develop reporting of operating values (e.g., pressure readings).
• Analyze failures and KPIs across departments, esp. SO/ infrastructure.
• Contribute to cross-site digitalization and data management projects.
• Plan and deliver user training for developedAnalytics tools.

Skills

Data analytics

Reporting & visualization

Predictive analytics

Data mining

Strong analytical/problem-solving

Translate data to business outcomes

Stakeholder management

Communication skills

Education

Degree in Data Science, IT, Engineering or comparable field

Job description

Infineon Technologies AG in Malaysia is seeking a Senior Analyst, Facility Management Digital Transformation, to drive data-driven decisions in a high-tech manufacturing environment.

The role focuses on analytics, reporting, and predictive insights to optimize facility operations. You will collaborate with cross-site teams, implement new monitoring methods, and translate data into real-world efficiency gains, while promoting digitalization and data management best practices.