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Statistical Specialist, Data Collection – Survey design and Analytics (Manpower Research and Statistics Department)

Agency: Ministry of Manpower
Job no.: 542549
Work type: Contract
Location: Singapore
Categories:Research and Analysis, Statistics

The Ministry of Manpower (MOM) aims to develop a productive workforce and progressive workplaces, for Singaporeans to have better jobs and a secure retirement. In a rapidly changing global economic landscape, Singapore’s workforce and workplace practices have to remain adaptable. MOM’s policies help enhance the workforce’s profile, promote lifelong employability and income security for Singaporeans, as well as foster excellent working environments that are fair and safe. As an MOM officer, you will get to work in a range of exciting areas to help the Ministry attain its goals, including manpower policy, industrial relations, workplace safety and foreign employment regulation. MOM is committed to creating an inclusive employee experience for all.

Role Purpose

To actively drive the process of survey design through data definition, effective questionnaire drafting and design, as well as interface with other available data sources.


You will be responsible to:

  • Engage and collaborate with key stakeholders and data users to draft and design survey questionnaires that support public information needs and the Ministry’s strategic outcomes
  • Conceptualise and design questionnaires with the aim to collect quality data in an intuitive and respondent-centric manner
  • Actively identify data sources that could be used to supplement survey data
  • Highlight survey related cognitive biases and complications which are to be addressed
  • Design analytical models or experiments to solve various strategic and complex business problems and evaluate scenarios to make predictions on future outcomes to support decision making


  • Tertiary qualification in any discipline
  • Good design thinking and excellent writing skills
  • Strong communication, coordination and  interpersonal skills
  • Meticulous and able to work under pressure
  • Strong data literacy skills with keen sense in value of data and translation of business objectives into actionable analysis
  • Strong analytical and conceptualisation ability; Able to look beyond conventional boundaries while considering operational realities
  • Strong statistical knowledge would be an added advantage
  • The ideal candidate should be proficient in statistical programming tools such as R, SAS, Python and database querying language such as SQL.

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