Assistant Manager, Research Data and Analytics

The College of Engineering at Nanyang Technological University, Singapore invites applications for the position of Team Lead, Research Data & Analytics within its Research & Partnerships Team.

You will lead the College’s research data and analytics function, strengthening the quality, consistency and usability of research funding, publication and related information. Working across Schools, Research & Partnerships teams and University offices, you will oversee reporting, data governance, process improvement, research data management and the Research & Partnerships intranet portfolio.

• →Lead Team 5’s workplan, priorities and delivery across research data reporting and analytics, research data management and intranet governance.
• →Review data requirements and workflows, and coordinate the accurate collation, verification, reconciliation and interpretation of research funding, publication and citation data.
• →Develop and maintain standard templates, SOPs, data definitions, master datasets and quality-control processes.
• →Produce management reports and insights for College, School and University stakeholders.
• →Identify and implement process improvements, dashboards and appropriate automation to reduce manual effort and strengthen transparency.
• →Coordinate with relevant University offices on Research Driver, RISE, Interfolio–Pure and related data processes.
• →Review research data management requirements, clarify College and School responsibilities and coordinate improvements to the College framework.
• →Lead the development and maintenance of Research & Partnerships intranet content.
• →Manage stakeholder requests, present progress and risks, and guide team members in delivering accurate and timely work.
• →Undertake other related initiatives assigned by the Office.

• A good University Degree in data analytics, information systems, engineering, statistics, public administration or a related discipline.
• At least 1 year of relevant experience in data analytics, management reporting, data governance, process improvement or research administration.
• Experience leading projects or small teams and coordinating across multiple stakeholders.
• Strong analytical, problem-solving, planning and communication skills.
• Advanced proficiency in Microsoft Excel and working proficiency in Power BI or an equivalent data visualisation tool. Exposure to automation, databases, scripting or research information systems will be an advantage.
• Strong attention to detail and the ability to establish standards, manage competing deadlines and handle sensitive information appropriately.

We regret that only shortlisted candidates will be notified.