Manager / Senior Manager (Data Analysis and Management), A*STAR Graduate Academy

A*STAR Graduate Academy (A*GA), our vision is to make A*STAR a global nexus for scientific talent. We are committed to nurturing and grooming talented scientists and researchers who will spearhead Singapore's ambition of becoming a world-class scientific hub. Through a comprehensive suite of undergraduate, PhD and post-doctoral scholarships, A*GA supports top-class education at both local and overseas universities/ institutions to help passionate individuals realise their full potential. We also identify talent through extensive outreach programmes and internships to nurture them into future scientific talents.

Job Responsibilities

• Oversee the compliance to data governance laws and regulations in data management practices, while also providing expert guidance to A*GA on data governance matters.
• Identify and mitigate risks related to data security and integrity. Implement audit trails and compliance checks for all A*GA critical data sets.
• Work with cross-functional teams to improve/monitor data quality metrics within A*GA.
• Prepare and present detailed data reports using visualisation tools such as Tableau and PowerBI.
• Support A*GA decisions through data cleaning and analysis of historical data from various available sources
• Support digitalisation, process automation and transformation initiatives as well as knowledge management efforts
• Undertake ad hoc duties or projects assigned by his/her leaders and management (e.g. Deputy Chief Executive,
• Executive Director and Director)
  

Job Requirements

• At least 5 years of relevant working experience in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content
• A degree in Data Science and Analytics or Statistics or Mathematics or Computer Science or Information
• Systems or equivalent would be preferred
• Must possess an independent problem-solving mindset with a strong desire to find innovative solutions to data-related problems
• Strong analytical thinking skills
• Good interpersonal skills and ability to communicate effectively
• Proficient in Microsoft applications, and relevant experience in using data analytics software tools (e.g., Power BI, Tableau, etc) and automation software tools (e.g. MS Power Automate, UiPath) will be an advantage
• Ability to work under tight timelines when required