Job Description
Are you a passionate and skilled Data Analyst with a desire to make a tangible impact on patient outcomes and population health? The National University Health System (NUHS) invites you to join our dynamic team as an Assistant Manager, Advanced Analytics & Operations (AIO) within the groundbreaking CHAMP Program in Singapore.
This pivotal contract role offers an exciting opportunity to leverage your analytical prowess to drive strategic initiatives and transform healthcare delivery. As a key member of the AIO team, you will be instrumental in turning complex healthcare data into actionable insights, directly contributing to our mission of enhancing patient care and improving public health across our integrated health system.
At NUHS, we are at the forefront of healthcare innovation. The CHAMP Program is designed to optimize operational efficiency and clinical effectiveness through advanced data-driven approaches. You will collaborate with a diverse group of clinicians, researchers, and technical experts, working on challenging projects that span various aspects of healthcare, from operational analytics to clinical outcomes and population health management. This is more than just a data analysis role; it’s an opportunity to shape the future of healthcare in Singapore, utilizing cutting-edge tools and methodologies to achieve significant societal impact. If you thrive in a fast-paced environment and are committed to excellence, we encourage you to apply and contribute to a healthier Singapore.
Responsibilities
- Conduct in-depth data analysis to identify trends, patterns, and insights related to patient outcomes, operational efficiency, and population health within the CHAMP program.
- Develop and maintain dashboards, reports, and analytical tools using various data visualization platforms to communicate key findings to stakeholders.
- Collaborate with clinical, operational, and IT teams to understand data requirements, define key performance indicators (KPIs), and support evidence-based decision-making.
- Ensure data quality, integrity, and governance by implementing robust data validation processes and best practices.
- Contribute to the development and implementation of advanced analytical models and predictive analytics to forecast health trends and optimize resource allocation.
- Prepare comprehensive presentations and reports, effectively translating complex analytical findings into clear, concise, and actionable recommendations for senior management.
- Support project management activities for data analytics initiatives, ensuring timely delivery and successful outcomes.
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Health Informatics, Public Health, or a related quantitative field.
- Minimum of 3-5 years of experience in data analysis, business intelligence, or a similar analytical role, preferably within the healthcare sector.
- Proficiency in SQL for data extraction and manipulation from large databases.
- Demonstrated experience with statistical programming languages such as Python or R.
- Strong command of data visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create impactful dashboards and reports.
- Excellent analytical, problem-solving, and critical thinking skills, with an ability to work with complex datasets.
- Exceptional communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
- Prior experience working within an integrated health system or with population health data will be highly advantageous.