Apprentice

Role Overview

We are looking for high-potential graduates with a strong analytical and technical mindset to support data and system-driven transformation within Technical Accounting.

This role focuses on enabling business processes through an internal platform used for data processing, validation, and reporting. The individual will work at the intersection of data, systems, and business logic, helping translate requirements into structured, scalable solutions.

This is not a transaction processing role - it is focused on data, systems, and implementation enablement.

Key Responsibilities

• Support onboarding and preparation of datasets into internal systems (data mapping, validation, and testing)
• Work with large datasets to analyze, clean, and validate data quality
• Assist in developing data transformation logic and basic automation solutions
• Perform data quality checks and identify inconsistencies or gaps
• Support system testing and output validation for business scenarios
• Collaborate with:
• Technical Accounting teams
• Data / analytics teams
• IT / system implementation teams
• Contribute to improving data accuracy, process efficiency, and system usability

Skills & Qualifications

Education

• Graduate in:
• Engineering / Computer Science / Data Analytics

Technical Skills

• Basic understanding of:
• Excel (data handling, formulas)
• SQL or Python (preferred)
• Familiarity with:
• Data structures and data handling concepts
• Logical problem-solving and structured thinking
  
  

What We Look For

• Strong analytical and problem-solving skills
• Interest in working with data, systems, or coding
• High attention to detail
• Ability to learn quickly and adapt in a dynamic environment
• Effective communication and collaboration skills

Why Join This Role

• Work on data and system transformation initiatives within a global organization
• Gain exposure to internal platforms supporting large-scale business processes
• Build skills in data, analytics, and process automation
• Opportunity to grow into roles across data, systems, and transformation functions