Senior Data Analyst/Data Analyst (Population Health Analytics)

Department of Statistics; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The Department of Statistics in Singapore is seeking a Senior Data Analyst/Data Analyst to join the Population Health Analytics team. You will apply statistical and data science methods to analyse population health trends, disease burden, and projections to inform policy and resource planning.

Collaborate with policymakers, clinicians, researchers, and data engineers to deliver robust analyses and clear data stories for national and international stakeholders.

Qualifications

• Strong background in statistics or quantitative disciplines.
• Experience applying statistical modelling to policy or population health.
• Proficiency in R, Python, or Stata and SQL.
• Experience designing analytical studies and stakeholder engagement.
• Excellent communication and ability to translate findings to non-technical audiences.
• Ability to manage multiple projects and stakeholders in a fast-paced environment.
• Preferred: public health or epidemiology experience; forecasting or projection models.
• Experience with large healthcare datasets; data visualization is a plus.

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 and health outcomes.
• Develop, validate and maintain disease burden and projection models to forecast future population health needs, disease prevalence, healthcare demand and associated outcomes.
• Independently scope analytical problems, formulate study designs, assess data requirements and develop appropriate analytical methodologies.
• 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.
• Develop, maintain and validate health indicators and statistical estimates used for monitoring population health, and reported to stakeholders across Government and international organisations.

Skills

Statistics

Data Analytics

Data Science

Epidemiology

Biostatistics

Public Health

SQL

R/Python

Databricks

Data wrangling

Tools

Databricks

Tableau

Job description

What the role is:

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.

What you will be working on:

• 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.

What we are looking for:

• 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.

About Department of Statistics

The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population.We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population.With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public.Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.