Senior / Analyst, Data Science, Office of Insights & Analytics (Contract)

SingHealth Group; Singapore; Sur place; SGD 70 000 - 100 000; Temps partiel

Résumé du poste

SingHealth Group's Office of Insights & Analytics (OIA) seeks an Analyst, Data Science to advance analytics capabilities within Epic EMR. You will configure, test, and maintain analytics applications, tailoring settings to meet reporting needs for clinical and administrative teams across Singapore’s largest public healthcare cluster.

You will build and modify reports and dashboards, validate outputs for data quality, conduct on-site user support, provide training, and coordinate data extracts

Qualifications

• Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Computer Engineering, Business Analytics, Information Systems, System Engineering, or a related quantitative discipline with at least 2 years of relevant working experience.
• User-focused design and data visualisation skills, with proficiency in SQL and relational database concepts, and demonstrated experience with analytics tools.
• Experience collaborating with business and technology stakeholders to support data product development and utilisation.
• Prior experience in a healthcare environment would be advantageous.
• Analytical and independent problem solver who is self-motivated, forward-thinking, and embraces new challenges and continuous learning.
• Collaborative team player who is responsive and takes ownership, with strong written, documentation, and communication skills.

Responsabilités

• Configure, test, and maintain analytics applications in the EMR system by customising settings to align with reporting needs.
• Conduct rigorous testing in designated test environments before deployment.
• Perform volume testing in live environments to ensure system stability.
• Review and validate reports and analytics outputs to ensure data consistency, accuracy, and completeness.
• Conduct peer reviews of SQL-based metrics to identify and correct discrepancies, and maintain data governance.
• Create and modify reports, dashboards, and visualisations to display EMR data effectively.
• Ensure timely distribution of analytics content to relevant stakeholders.
• Maintain the data catalogue and associated metadata records; ensure interoperability with external analytics platforms.
• Follow change management processes with clear oral and written communications.
• Provide training to users on analytics applications.
• Facilitate communication between clinical, administrative, and IT teams to align analytics solutions with user needs.
• Secretariat work for assigned workgroups when required.
• On-site user support during implementation and on-call duties to troubleshoot issues.
• Support post-implementation performance monitoring to identify gaps in analytics functionality.
• Lead EMR data extract projects and interfaces with downstream systems.
• Coordinate with application teams, vendors, and downstream system owners to design, test and implement extract solutions.
• Monitor extract performance, troubleshoot issues, and ensure data quality and timely delivery.

Connaissances

SQL

Data viz

Analytics tools

User-focused design

Stakeholder collaboration

Formation

Bachelor's degree in a quantitative field

Outils

Epic EMR

Data governance tools

Description du poste

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Senior / Analyst, Data Science, Office of Insights & Analytics (Contract)

Job Category: Administration

Posting Date: 29 Oct 2026

Join SingHealth's Office of Insights & Analytics (OIA) and help shape the future of data-driven healthcare. You will configure, test, and maintain analytics applications within our Electronic Medical Records (EMR) system, supporting clinical and administrative teams across Singapore's largest public healthcare cluster in making better, evidence-based decisions.

We are seeking an Analyst, Data Science to support the implementation and ongoing development of analytics capabilities within Epic, our EMR platform.

What You Will Do:

You will configure, test, and maintain analytics applications in the EMR system by customising settings to align with reporting needs, conducting rigorous testing in designated test environments before deployment, and performing volume testing in live environments to ensure system stability.

You will review and validate reports and analytics outputs to ensure data consistency, accuracy, and completeness, conduct peer reviews of SQL-based metrics to identify and correct discrepancies, and maintain data governance best practices.

You will create and modify reports, dashboards, and visualisations to display EMR data effectively, ensure timely distribution of analytics content to relevant stakeholders, maintain the data catalogue and associated metadata records, and ensure interoperability between the EMR analytics applications and external analytics platforms.

You will follow change management processes using clear oral and written communications, provide training to users on analytics applications, and facilitate communication between clinical, administrative, and IT teams to ensure analytics solutions meet user needs, including secretariat work for assigned workgroups where required.

You will also provide on-site user support during implementation, take on scheduled on-call duties to troubleshoot and track issues, and support post-implementation performance monitoring to identify gaps in analytics functionality.

You will also lead the delivery of EMR data extract projects and interfaces with downstream systems by coordinating with application teams, vendors and downstream system owners to design, test and implement extract solutions.

You will also monitor extract performance, troubleshoot issues, and ensure data quality and timely delivery.

Job Requirements:

Bachelor's Degree in Computer Science, Applied Mathematics, Statistics, Computer Engineering, Business Analytics, Information Systems, System Engineering, or a related quantitative discipline with at least2 years of relevant working experience.

User-focused design and data visualisation skills, with proficiency in SQL and relational database concepts, and demonstrated experience with analytics tools.

Experience collaborating with business and technology stakeholders to support data product development and utilisation.

Prior experience in a healthcare environment would be advantageous.

Analytical and independent problem solver who is self-motivated, forward-thinking, and embraces new challenges and continuous learning.

Collaborative team player who is responsive and takes ownership, with strong written, documentation, and communication skills.