Senior Data Analyst/Data Analyst (Population Health Analytics)

We are seeking a motivated and analytically strong Senior Data Analyst/Data Analyst to join the Population Health Analytics team. The team supports health policy and planning through population health analytics, disease burden assessment, health indicators surveillance, and projection modelling. You will apply statistical, epidemiological and data science methodologies to analyse population health trends, quantify disease burden and risk factors, develop projections of future healthcare needs, and generate evidence to inform policy and resource planning. You will also contribute to the reporting of key national health indicators to stakeholders within the Government of Singapore and international organisations. This role offers the opportunity to work on analyses that support strategic planning across the healthcare system. The role involves collaboration with multidisciplinary teams comprising policymakers, clinicians, researchers, data engineers and other analysts to address complex population health challenges. You may also contribute to research projects and publications in collaboration with local academic, and public healthcare partners. You will be working in a fast-paced and dynamic environment that would require the ability to manage multiple priorities and stakeholders at the same time. Responsibilities - Wrangle and link large, complex datasets from multiple sources, and develop reproducible data pipelines and well-documented analytical workflows to support robust, consistent and reliable analysis and reporting. - Apply statistical, epidemiological, econometric and data science methodologies to analyse population health trends, disease burden, health disparities and health outcomes using administrative, survey and registry datasets. - Develop, validate and maintain disease burden and projection models to forecast future population health needs, disease prevalence, healthcare demand and associated outcomes, ensuring methodological rigour and policy relevance. - Independently scope analytical problems, formulate study designs, assess data requirements and develop appropriate analytical methodologies to address business and policy needs. - Interpret and translate complex analytical findings into clear and compelling presentations, reports and recommendations for senior management, policymakers and other stakeholders. - Conduct disease surveillance and monitoring of key health conditions and risk factors, identifying emerging trends and translating findings into actionable insights for policymakers and planners. - Develop, maintain and validate health indicators and statistical estimates used for monitoring population health, and reported to stakeholders across Government and international organisations. Requirements - Strong background in Statistics, Data Analytics, Data Science, Economics, Epidemiology, Biostatistics, Public Health or other quantitative disciplines. - Strong foundation in statistical modelling and quantitative methods, with experience applying these techniques to real-world policy, healthcare or population-level questions. - Strong data wrangling and analytical skills with proficiency in at least one statistical programming language such as R, Python or Stata, and experienced in querying and manipulating large datasets using SQL. - Experience independently designing, planning and executing analytical studies from problem definition through to interpretation and stakeholder engagement. - Strong analytical thinking and problem-solving skills, with the ability to work with ambiguity and develop robust analytical approaches for complex issues. - Effective written and verbal communication skills, with the ability to explain and translate technical concepts and analytical findings to non-technical audiences. - Ability to manage multiple projects and stakeholders concurrently in a fast-paced and dynamic environment. - Self-driven, resourceful and proactive, with a strong sense of ownership, accountability and ability to complete tasks independently with minimal supervision. - Meticulous with a strong attention to details and accuracy, to ensure that findings and reports are reliable before they are communicated to stakeholders. Preferred: - Experience in public health, epidemiology, healthcare analytics, disease surveillance, population health research or health services research. - Experience developing forecasting, simulation or projection models. - Familiarity with survey analysis, longitudinal data analysis, causal inference or advanced statistical modelling techniques. - Experience working with large, complex healthcare, administrative, registry or population health datasets. - Experience using Databricks and data warehousing concepts for data analysis and reporting. - Experience with data visualisation tools (e.g. Tableau) will be an added advantage. - Experience in publishing relevant work in peer-reviewed journals will be advantageous. Key Competencies Required: - Thinking Clearly & Making Sound Judgements – Strong analytical and critical thinking abilities to support the crafting of sound policy recommendations; ability to grasp timelines, operating context and ground realities. - Learning & Putting Skills into Action - Possesses the drive and curiosity to learn and apply new skills, knowledge and new ways of working. - Improving & Innovating – Ability to seek continual improvements, and to innovate and experiment while managing the risks involved. - Working Effectively with Stakeholders – Ability to mobilise and rally partners and stakeholders towards a collective purpose. - Data Storytelling – Communicate discoveries and insights from the analysis work presented in a coherent data story that demonstrates strong understanding of the stakeholder’s needs and preferences and drive change based on the analysis. - Data-driven Policy Analysis – Utilise data analytics (directly/indirectly) to support policy analysis and simulate the impact of different policy options. To support Whole-of-Government statistical capabilities and provide diverse opportunities for our officers, DOS recruits for statistical roles across the Public Service. For this role in Ministry of Manpower (MOM), successful candidates will be employed by DOS and seconded to MOM. Successful candidates may also explore other career opportunities in DOS and other public agencies after their stint with MOM. Further details will be shared with shortlisted candidates.