Enfrasys Hiring! People Group Trainee in Selangor - Ricebowl

Essential Duties and Responsibilities:

1.0 To proactively support, participate in AI and automation-enabled transformation of the end-to-end Employee Lifecycle and Employee Experience (EX) across People Group and Office Administration functions through the design, development and optimisation of HRMS front-end architecture. employee self-service solutions, AI-enabled workflows, automation, analytics and employee experience platform.

The role contributes to the end-to-end digitisation of the Employee Lifecycle by improving how employees interact with HR systems, services and processes while supporting automation, governance, productivity and data-driven decision-making.

The incumbent will work closely with PCCS, Business Units and Technology teams to design intuitive user journeys, automate manual processes and develop scalable digital solutions aligned with Enfrasys Group's #BuildABetterUs transformation agenda.

This enhancement positions the internship as a strategic PCCS Digital Transformation Internship, not merely a reporting/data analyst role, and aligns strongly with Enfrasys' intent to build an internal pipeline for AI-enabled HRMS and Employee Experience transformation capabilities.

2.0 Key Result Areas (KRAs) & Responsibilities

2.1 KRA 1: Data Analytics & Dashboard Development

• Develop interactive dashboards (Power BI or equivalent) on:
• Attrition trends
• Time-to-hire
• Overtime costs
• Workforce productivity
• Translate raw HR/admin data into insight-driven outputs for HOD/BOD use
• Maintain structured datasets from HRIS / Excel / other sources

KRA 2: AI & Automation – End-to-End Employee Lifecycle Transformation

• Design and implement AI-enabled solutions across the full Employee Lifecycle, including:
• Attraction & Hiring (recruitment analytics, chatbot screening)
• Onboarding & Integration (self-onboarding, onboarding bots)
• Employment Experience (leave, claims, communication automation)
• Performance & Development (SPM workflows, feedback tracking)
• Exit & Offboarding (automated clearance, insights on attrition)
• Identify manual, repetitive processes and deploy automation / RPA solutions to:
• Reduce processing time
• Eliminate errors
• Improve consistency and governance
• Track and quantify automation ROI (hours saved, cycle time reduction, error reduction, cost impact)

KRA 3: Employee Experience (EX) Analytics & Workflow Optimization

• Develop dashboards and analytics on end-to-end Employee Experience, including:
• Onboarding effectiveness
• Engagement / feedback trends
• Performance cycle completion
• Attrition & retention indicators

• Translate HR data into EX insights, such as:
• Where experience is breaking (e.g., onboarding delays, unclear communication)
• Which lifecycle stages drive dissatisfaction or inefficiency
• Correlation between EX → productivity / retention
• Generate actionable recommendations to improve EX, not just reporting

KRA 4: Process Automation & AI Solutions

• Identify repetitive/manual HR & admin processes and propose automation
• Develop automation solutions using tools such as:
• Power Automate
• RPA tools (UiPath or similar)
• AI-enabled workflows (Co-Pilot, document processing, chatbots)
• Track and quantify automation impact (time saved, error reduction)

3.0 Preferred Technical Exposure

3.1 Candidates with exposure to any of the following will have an added advantage:

3.1.1 Front-End & UX

• Figma
• Adobe XD
• Wireframing tools
• Responsive design principles

3.1.2 Automation & AI

• Power Platform
• Power Automate
• Copilot Studio
• UiPath
• Chatbot development

3.1.3 Analytics

• Power BI
• Tableau
• Power Query
• DAX
• SQL

3.1.4 Development

• HTML
• CSS
• JavaScript
• REST API concepts
• Low-code / No-code platforms

4.0 Behavioural Competencies

The incumbent should demonstrate:

4.1 Innovation & Continuous Improvement

• Challenges conventional ways of working.
• Actively seeks automation opportunities.
• Demonstrates curiosity about emerging technology.

4.2 Analytical Thinking

• Uses data to support decisions.
• Identifies patterns and root causes.
• Translates information into business insights.

Customer & Employee Centricity

• Understands employee needs.
• Designs solutions from a user perspective.
• Focuses on employee experience outcomes.

4.3 Collaboration

• Works effectively with PCCS, ICT and Business Leaders.
• Communicates ideas clearly and professionally.

4.4 Ownership

• Takes responsibility for deliverables.

Education and/or Work Experience Requirements:

• Currently enrolled in a Degree or Master Programme (Data Analytics, IT, Computer Science, Engineering, or related field)
• Strong interest in AI, automation and data analytics in business/HR environments
• Hands-on exposure (academic or project) to Power BI, Excell or similar tools
• Basic knowledge of automation tools (Power Automate, RPA, scripting) is an advantage
• Ability to work with data (cleaning, structuring, analyzing and visualising)
• Strong-problem solving mindset and ability to identify inefficiencies
• Good communication skills to explain outputs clearly to non-technical users
• Proactive, self-drive and able to deliver outputs within a 3-month project timeline.