Internship - Industrial Engineering (BE Academy)

This internship offers a unique opportunity to bridge the gap between Operations, Engineering, and Learning & Development (L&D). You will work alongside Subject Matter Experts (SMEs) and functional partners to understand how competency standards, training programs, and digital tools are designed to prepare the workforce for future business needs. You will contribute to digitalization projects, analyze training effectiveness data, and support knowledge management initiatives that drive operational excellence.

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.

Contact:

Hillary Woo

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