Strong Python proficiency and data science foundations, including exploratory data analysis and visualization, predictive modelling, and machine learning.
System implementation: Understanding business requirements, developing functional and non-functional specs and working closely with the business and tech developers. This includes new development or system enhancement of the existing technology solutions
We are seeking a Data Analyst to support various population health and health economics research initiatives at the National Cancer Centre Singapore. The successful candidate will work extensively with large-scale, linked administrative, clinical and research datasets, including electronic medical records (EMR), health and socio-demographic information collected through research studies and institutional/government administrative databases. This role sits at the intersection of oncology, health economics, epidemiology, and public health, and involves close collaboration with clinicians, health economists, epidemiologists, and data science teams across institutions.
Receipts and payments management. Support interface reconciliation, adjustments, and data entries, and assist with bank reconciliations to ensure financial accuracy.
Lead the implementation and management of on-prem-based applications, ensuring optimal performance and security while assessing on-prem security needs and control frameworks.
Develop and maintain ETL workflows using SQL Server Integration Services (SSIS) to extract, transform and load data from multiple source systems into the enterprise data warehouse.