Analyst / Senior Analyst, Data Science

About the role

SingHealth is looking for an Analyst or Senior Analyst, Data Science to support evidence-based decision-making across its healthcare programmes by turning data into insights that inform clinical and operational choices. The role covers the full cycle: requirements gathering, data extraction and preparation, analysis, dashboard development and communicating findings to stakeholders. It also includes data management work such as keeping data definitions and documentation up to date and tracing reported figures back to their sources. As you gain experience, you will own analytical projects for specific healthcare programmes and national planning priorities.

Key responsibilities

• Deliver end-to-end data analytics and machine learning projects, including problem definition, data preparation, analysis, validation and presentation of findings.
• Provide analytical support for national healthcare initiatives and planning priorities.
• Maintain data management assets and processes, including the electronic medical record data dictionary, data definitions, data lineage documentation, data quality checks, source-to-report traceability, data change requests and user acceptance testing.
• Develop and maintain dashboards that support clinical and operational decision-making.
• Perform other duties as assigned.

Required profile

• Bachelor's degree in Business Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Economics or a related quantitative, computing or analytics discipline.
• 0 to 3 years of relevant experience in data analytics, data science, business intelligence, data management or healthcare analytics; fresh graduates with internships, academic projects or portfolio work are welcome.
• Strong communication skills and attention to detail, able to explain limitations to technical and non-technical audiences and work independently and collaboratively.
• For the Senior Analyst position, candidates with stronger experience who can independently manage workstreams may be considered.

Required skills

• Working knowledge of SQL and Python, with a willingness to develop them further on the job.
• Experience with Tableau or a similar data visualisation tool, including dashboard design and data storytelling.
• Familiarity with exploratory data analysis, statistical analysis, trend analysis and segmentation.
• Familiarity with data dictionaries, metadata management, data quality checks, business rules and change request processes.
• Awareness of responsible AI practices, including the use, limitations and risks of generative AI and large language models.

Advantageous: experience in healthcare, public health or clinical operations, familiarity with electronic medical record systems, exposure to machine learning or advanced methods (e.g. pandas, scikit-learn, Databricks, MLflow), and public sector experience.