What the role is:As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life's uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.What you will be working on:We are seeking a Data Management Analyst to join the Retirement & Health Study Office (RHSO). The RHSO oversees the Retirement & Health Study, a longitudinal survey involving over 20,000 individuals in Singapore, aimed at understanding how retirement and healthcare demands evolve with age. Over the past decade, the study has tracked the retirement, health, and various outcomes of this cohort, with the data being widely utilized by government agencies and academia for policy decisions. If you are enthusiastic about managing high-quality longitudinal data related to aging, and possess experience in data management and modelling, we encourage you to apply for this exciting opportunity. Your broad area of responsibilities include Undertake a broad range of data quality assurance activities to ensure that the data is error-free, complete, and unbiased. Conduct comprehensive data quality assurance activities to ensure accuracy, completeness, and integrity of datasets. Implement and enforce quality control measures throughout the data lifecycle Oversee the organisation, storage, and retrieval of datasets. Collaborate with cross-functional teams to establish and maintain efficient data management processes. Work on data science projects to enhance the data quality, or execution of the study. Collaborate closely with external entities, including survey companies, academic institutions, and government agencies, to coordinate and execute the study's planning. Facilitate seamless data sharing processes as part of the collaborative efforts. Maintain detailed documentation of data quality processes, methodologies, and project-related activities. Create and update documentation to ensure transparency and replicability of processes. Identify areas for improvement in data quality and management processes. Propose and implement enhancements to optimize efficiency and effectiveness.What we are looking for:
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