数据分析实习生

Key Roles and Responsibilities

• Prepare, generate learning report, and support the development and maintenance of dashboards to provide insights into learning effectiveness, programme performance, and learner engagement.
• Leverage AI and digital tools to enhance efficiency in reporting, data analysis, content creation, and learning administration.
• Maintain the accuracy and quality of learning data through data validation, cleansing, and regular audits to support reliable reporting and decision-making.
• Support the tracking and analysis of learning metrics to evaluate programme effectiveness and identify opportunities for continuous improvement.
• Assist in the administration and maintenance of learning systems and tools, ensuring smooth course launches, accurate learner records, and a positive user experience.
• Support the onboarding of HR Learning Representatives and users on the Learning Management System (LMS), including system navigation, user guidance, and basic troubleshooting.
• Develop learning communications and promotional materials, including Electronic Direct Mail (EDM) campaigns, to drive awareness and engagement.
• Support learning operations, programme administration, and training logistics to ensure the smooth delivery of learning initiatives and activities.
• Assist Subject Matter Experts (SMEs) in implementing and maintaining learning content aligned with business and organisational needs.
• Undertake ad-hoc projects and responsibilities as assigned.

Qualifications, Skills & Experience

• Background in Business Analytics, Data Analytics, Business, Human Resources, Learning & Development, or a related field.
• Proficient in Microsoft Office applications, particularly Excel, PowerPoint, Outlook, and Power BI.
• Familiarity with data analytics, reporting, dashboarding, or data visualisation concepts.
• Strong analytical and problem-solving skills, with the ability to interpret data and derive meaningful insights.
• Proficient in AI, digital technologies, and their application in learning and business processes.
• Meticulous and detail-oriented, with a high level of accuracy when handling data and reports.
• Strong organisational skills and the ability to manage multiple tasks in a fast-paced environment.
• Good interpersonal and communication skills, with the ability to collaborate effectively with stakeholders across different functions.

Join us in making a real impact!

Working Location: 30 Hill Street Singapore 179360

We welcome applications from students who are available for a full-time internship from January to May 2027. Candidates who are able to extend their internship beyond May 2027, preferably through July 2027, will be viewed favourably.