Security Data Intern, Properties & Facilities Management

The National Library Board (NLB) nurtures Readers for Life, Learning Communities and a Knowledgeable Nation by promoting reading, learning and history through our network of 28 libraries across Singapore, the National Library and the National Archives of Singapore. At NLB, you can look forward to a flexible, hybrid work environment with rewarding, impactful deliverables that improve the lives of the community. With caring colleagues, you will be in an ideal environment for professional development, innovation and impact. We can offer you: • A chance to Impact the Community, bridge gaps and empower everyone with the opportunity for learning and discovery. • An opportunity to Innovate and Push Boundaries. We value ideas, curiosity and a passion for innovation to transform our libraries and archives. • An organisation that Cares for your Growth and Wellbeing through investment in staff development and wellbeing in a supportive and collaborative environment. As a Security Data Intern, you will support the Properties & Facilities Management division in analysing and reconciling visitorship data across multiple people-counting systems. Your work will directly contribute to improving the accuracy and reliability of data used to manage NLB's library spaces. Responsibilities • Develop a data verification framework to reconcile visitorship counts across multiple people-counting systems, including building data collection templates and defining data dictionaries to ensure consistency across all data sources • Create dashboards or visualisation tools to present discrepancies and trends in a clear and accessible format for stakeholders • Conduct comparative analyses to identify variances, investigate root causes of discrepancies, and document findings with supporting evidence • Process and clean incoming datasets to remove duplicates, correct formatting errors, and handle missing values before analysis • Maintain a structured data log to track historical counts and variance trends over time • Compile processed outputs into regular reports summarising key findings, reconciliation results, and recommendations for improving data accuracy across the systems Requirements • Open to students from all disciplines; students with a background in data analytics/ data science or statistics or any related fields in security are particularly encouraged to apply. • Individuals with data analytics skill, security knowledge is a plus. Duration: 6-9 months