Step 1 · Compatibility
Senior Assistant Director / Assistant Director, Analysis (MRSD)
Department of Statistics · onsite · closes 10/31/2026
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- • No specific skills required
- • 7y experience meets the 6y minimum
- • Job is contract, outside your preferences
- • Schedule works
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Step 2 · The role
Singapore's labour market is constantly evolving, shaped by technological advancements, economic developments, demographic shifts, and changing workforce aspirations. Making sense of these changes — and what they mean for workers, employers, and policymakers — requires more than good data. It requires sound analysis, careful judgement, and a genuine appreciation of the policy context. The Analysis team sits at the heart of how Singapore understands its workforce. Our research and statistical insights inform policy discussions across Government, contribute to public understanding of labour market issues, and shape the national conversation on topics such as employment, wages, workforce participation, and job quality. As an Assistant Director / Senior Assistant Director, you will lead a team of analysts, guide the team's analytical agenda, and serve as a trusted advisor on labour market issues within and beyond the department. You will provide the technical leadership needed to ensure that the team’s work is rigorous, timely, and policy-relevant – and that it informs the decisions and conversations that matter to Singapore’s workforce and economy. Responsibilities • Strategic leadership — Mentor and guide a team of analysts in their research, analytical work, and professional development. Oversee and review key research projects and flagship publications on official labour statistics. Foster a culture of analytical excellence, curiosity, and continuous learning. Develop the team’s research capabilities to deliver successful outcomes. • Shape what matters — Identify emerging labour market issues, anticipate information needs, and drive a forward-looking research agenda that informs policy discussions and decision-making. • Turn data into insights — Provide timely and evidence-based assessments of labour market developments, translating complex findings into clear and actionable insights for senior management and stakeholders. • Be the expert in the room — Serve as a subject matter expert to advise on labour market statistics, research methodologies, modelling approaches, data sources, and interpretation of findings, offering well-grounded perspectives on emerging issues. • Build partnerships and influence — Work closely with policymakers, economists, researchers, and stakeholders across Government to support evidence-based policymaking and deepen understanding of labour market developments. Requirements • Individuals who are intellectually curious, strategic in their thinking, and passionate about using data and research to shape public policy. • Knowledge in Statistics, Economics, Data Science, Business Analytics, Public Policy, Social Sciences, or related disciplines will be an advantage. • At least 6–8 years of relevant experience in research, analytics, economics, statistics, data science, public policy, or related fields, with demonstrated experience leading teams, providing technical leadership, and delivering high-quality analytical outputs. • Strong quantitative and analytical skills, with experience applying statistical, econometric, or other analytical methods to real-world problems, ideally in the context of labour market or social research. • Strong judgement and critical thinking skills, with the ability to assess complex issues, identify key implications, balance statistical rigour with analytical relevance and provide well-reasoned perspectives under tight timelines. • Strong stakeholder management, communication and influencing skills, with confidence in representing analytical findings and contributing effectively to discussions with senior management and stakeholders. • Experience in mentoring and developing staff, with the ability to guide the team in work prioritisation, manage timelines and uphold analytical quality. • Working knowledge of statistical programming languages, such as SAS, R, Python or STATA; data visualisation tools, such as Tableau or Power BI; and econometric or predictive modelling will be an advantage. 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.
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