Infineon Technologies

Your Role

Key responsibilities in your new role

• Competency Framework Support
  
  • Framework Maintenance: Assist in maintaining and updating competency frameworks, skill taxonomies, and proficiency matrices for Backend functions.
  • Competency Documentation: Support the documentation of technical and behavioral competency standards, including helping to define evidence requirements for assessments.
  • Stakeholder Collaboration: Collaborate with stakeholders to gather inputs for New Employee Training Programs (NETP) and structured learning pathways.
  • Industry Research: Conduct research on industry trends and emerging technologies to help keep competency frameworks current and relevant.
  Training & Content Development Assistance
  
  • Learning Solution Design: Support Subject Matter Experts (SMEs) in the design and development of technical learning solutions, including e-learning modules, microlearning content, and digital training materials.
  • Training Catalog Management: Help maintain training catalogs and knowledge repositories to ensure learning materials are organized, current, and accessible.
  • Training Coordination: Assist in coordinating training deployment activities and supporting administrative tasks for learning events.
  • Digital Content Creation: Contribute to the creation of engaging digital communication content, such as infographics, short videos, or promotional materials for learning campaigns.
  Data Analytics & Digitalization Support
  • Workflow Enhancement: Assist in enhancing existing data workflows using tools such as KNIME and Tableau (training provided if basic knowledge is present).
  • Data Consolidation: Help extract, clean, and consolidate workforce capability data to support management reporting.
  • Compliance Monitoring: Monitor competency assessment progress and training compliance data, identifying trends or gaps for review.
  • Dashboard Development: Support the development of user-friendly dashboards to visualize training effectiveness and workforce readiness metrics.

Internship Learning

• Competency Framework Support
  
  • Framework Knowledge: Gain hands-on experience maintaining and updating competency frameworks, skill taxonomies, and proficiency matrices.
  • Standards Documentation: Develop skills in documenting technical and behavioral competency standards and evidence requirements.
  • Stakeholder Engagement: Build experience collaborating with stakeholders to shape training programs and learning pathways.
  • Research Capabilities: Strengthen research skills by exploring industry trends and emerging technologies relevant to competency development.
  Training & Content Development
  
  • Instructional Design Exposure: Learn to support the design and development of technical learning solutions alongside Subject Matter Experts.
  • Knowledge Management: Develop skills in maintaining organized and accessible training catalogs and repositories.
  • Event Coordination: Gain experience coordinating training logistics and administrative tasks for learning events.
  • Creative Content Skills: Build capabilities in creating digital communication content including infographics, short videos, and campaign materials.
  Data Analytics & Digitalization
  
  • Tool Proficiency: Develop working knowledge of data workflow tools such as KNIME and Tableau.
  • Data Handling: Gain experience in extracting, cleaning, and consolidating workforce data for reporting purposes.
  • Trend Analysis: Learn to monitor and interpret competency and compliance data to surface gaps and insights.
  • Dashboard Visualization: Build skills in developing dashboards that communicate training effectiveness and workforce readiness.

Your Profile

Qualifications and skills to help you succeed

• Education
  
  • Degree Pursuit: Currently pursuing a Bachelor's or Master's degree in Industrial Engineering, Human Resources, Organizational Development, Learning & Development, Data Analytics, or a related discipline.
  • Application Stage: Students in their final year or recent graduates (within 6 months) are encouraged to apply.
  Preferred Experience & Knowledge
  
  • Academic Background: Academic projects or coursework related to competency modeling, workforce planning, or instructional design is a plus.
  • Data Tools Familiarity: Basic familiarity with data visualization tools (Tableau, Power BI) or data automation tools (KNIME, Python, Excel Power Query).
  • Tech Interest: Interest in AI-enabled solutions, digital learning platforms, or semiconductor/high-tech manufacturing processes.
  • Content Creation: Experience creating content using digital tools (e.g., PowerPoint, Canva, video editing basics) is advantageous.
  Core Competencies & Soft Skills
  
  • Analytical Mindset: Ability to look at data and identify patterns or insights.
  • Communication: Strong written and verbal communication skills with the ability to present ideas clearly.
  • Collaboration: Comfortable working in cross-functional teams and seeking feedback from mentors.
  • Curiosity & Agility: Eager to learn new tools, adapt to change, and ask questions.
  • Project Management Basics: Ability to manage time, meet deadlines, and handle multiple small tasks simultaneously.
  • Preferred Intake: Jan 27 – May/June 27.