We are seeking a motivated graduate intern with foundational knowledge in systems development, data analysis, and an understanding of programming concepts to support our ongoing efforts.

Duration: 6 to 12 months

Key Responsibilities

\u00b7         Assist in the development and documentation of internal systems and tools (e.g., for staff record management, workflows, etc.)

\u00b7         Support the configuration and basic administration of low-code/no-code platforms (e.g., Power Automate, Google Workspace tools, or internal platforms)

\u00b7         Clean, structure, and analyze HR-related datasets to generate basic reports and insights

\u00b7         Assist in maintaining dashboards and automations used by the People & Culture Unit

\u00b7         Participate in user testing and feedback sessions to improve internal tools

\u00b7         Conduct basic troubleshooting and offer first-level support for internal digital tools

\u00b7         Document system processes and create how-to guides for end users

\u00b7         Perform any other duties as assigned by the supervisor

Requirements

\u00b7         Recent graduate in Computer Science, Information Systems, Statistics, or related fields

\u00b7         Foundational knowledge of programming or scripting (e.g., Python, JavaScript, SQL, or similar)

\u00b7         Knowledge of Microsoft packages

\u00b7         Familiarity with data tools such as Excel, Google Sheets, or Power BI

\u00b7         Understanding of software/system development principles

\u00b7         Interest in HR tech, data systems, or process automation is a plus

\u00b7         Strong attention to detail, willingness to learn, and ability to follow through on assigned tasks

\u00b7         Good communication skills and ability to work in a collaborative environment

Benefits

\u00b7         Practical experience in digital transformation within a people management context

\u00b7         Exposure to real-world HR data and systems

\u00b7         Mentorship and skill development in programming, data visualization, and system design

\u00b7         Opportunity to contribute to meaningful projects.

Application Deadline: 25th April 2025

Recommended for you