Data Analyst - Population Health Management

About the role

NHG Population Health, part of NHG Health, serves 1.5 million residents in Central and North Singapore through its Population Health Management (PHM) department, which uses clinical, operational and demographic data to guide resource deployment and improve health outcomes. The PHM department is looking for a Data Analyst to cover three core areas: business intelligence and indicator reporting, population profiling and dashboarding. The analyst produces rigorous analyses for clinical leads, operations managers and senior leadership and engages stakeholders so that outputs are relevant and actionable.

Key responsibilities

• Develop and maintain scripts to calculate performance indicators aligned with internal priorities and external reporting requirements, and track and document the methodology behind each indicator.
• Support ad hoc data analysis requests as required.
• Build profiles of residents covering demographics, social determinants of health, health behaviours, disease burden, utilisation patterns and care pathways, using primary and secondary data sources.
• Identify trends and emerging shifts in resident needs to inform service planning and targeted care programmes.
• Build, maintain and update dynamic and static dashboards, including querying databases, building and maintaining ETL pipelines from data marts and new data sources, and preparing data for reporting.
• Check outputs for accuracy, investigate anomalies and reconcile data discrepancies with stakeholders.

Required profile

• Degree in a quantitative discipline such as statistics, mathematics, data science, computer science, economics or a related field; health informatics or public health analytics backgrounds are welcome.
• Strong analytical and problem-solving skills, attention to detail and commitment to data accuracy.
• Ability to turn complex data findings into clear insights for technical and non-technical audiences, with strong written and verbal communication.
• Organised, able to manage multiple priorities and deadlines, and able to work independently and collaboratively with clinical, operational and technical stakeholders.

Required skills

• Data analysis tools and languages such as SQL, Python, R or equivalent.
• Data visualization tools such as Tableau, Power BI or equivalent.
• Working knowledge of Microsoft Office.
• Experience in a data analytics role or healthcare setting is advantageous.