We are looking for an enthusiastic individual to join our HR Analytics team, where you will have the opportunity to assist with reporting, analytics, and automation tasks during our transition to a new HR system. This opportunity is ideal for someone who is passionate about people and data, and eager to gain hands-on experience in continuous improvement and applying analytics to the human resources domain.
Responsibilities
Project Management (40%):
- Support data engineering initiatives
- Support the development of generative AI solutions to approved use cases
Software/ Data Engineering (40%):
- Maintain and enhance existing automation routines and scripts.
- Build new automation routines, databases, or tools that will support data and reporting operations.
- Review and standardise data structure and syntaxes used.
Data Analytics (10%):
- Support data operations including data ingestion, extraction, report compilation, and dashboard building.
- Ensure data quality and compliance with data governance policies.
Others (10%):
- Support ad-hoc projects as required.
Qualifications
- 1 year of related experience in data analytics/engineering. Fresh graduate may apply.
- A degree in Statistics, Economics, Engineering, Information Technology, Data Science, Mathematics or equivalent is a plus.
- Ability to maintain confidentiality and handle sensitive information with discretion.
- Basic understanding of the data protection regulation and guidelines, e.g. PDPA, GDPR.
- Self-starter mindset with strong leadership qualities and problem-solving aptitude.
- Excellent organizational skills to handle multiple tasks and prioritize effectively.
- Strong written and verbal communication skills for interaction with internal and external stakeholders.
- Proactive and self-motivated with a strong desire to learn and contribute to the team.
- Basic knowledge in Python, Power BI, and/or Excel Power Query.
- Knowledge or interest in any of the following is a plus: RPA, Visual Basic/VBA, MS Access, SQL, Process Improvement, Statistics, HR Processes & Systems, Streamlit, Git/Bitbucket, generative AI.
