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Senior Executive, Data Analyst, Office of Clinical Epidemiology, Analytics & Knowledge (OCEAN)

Our client provides holistic and integrated patient care

Job No: 3166      |       Advertised on: 2025-04-04      |       CIC: Jaclyn Tan      |       Reg. No: R1104237
Job Location(s): Central (eg: Chinatown, Raffles Place, River Valley, Orchard, Novena)

CTESxTAFEP_recruitment
  JOB DESCRIPTION Our client is actively searching for a Senior Data Analyst, Data Mgt Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’scompliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The responsibilities of this role are:
  • Collect, extract, clean and manage data from various sources
  • Ensure data accuracy, integrity, and security
  • Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
  • Prepare, review, and submit regulatory reports to relevant authorities
  • Monitor changes in regulatory requirements and adapt reporting processes accordingly
  • Collaborate with cross-functional team to gather data and report requirements
  • Create and maintain comprehensive reports and dashboards
  • Perform data analysis to identify trends, patterns, and anomalies
  • Interpret data and provide actionable recommendation for process improvement
  • Present data insights and communicate findings, results, and recommendations to stakeholders
  • Develop and maintain documentation of data processing and reporting processes
  • Provide insights and recommendation to improve compliance and reporting efficiency
  • Continuously improve and automate the data extraction, integration, and database management processes
  • Contribute to the development of data related strategy and initiatives
  • Provide project management support in IT related projects that the department is involved with
  • Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)
  • Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

The ideal candidate will need to have the following qualities and experience:
  • Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a relatedfield
  • At least 2 years of relevant working experience in Data Management and Reporting
  • Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
  • Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
  • Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
  • Prior hands-on experiences in UiPath (RPA software) will have added advantage
  • Excellent verbal and written communication, interpersonal skills, and presentation skills
  • Have critical thinking, attention to details and a commitment to data accuracy
  • Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
  • Ability to work in a team and independently with minimal supervision
  • Ability to mentor junior staff in the team (for Senior Executive)

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.
  SALARY S$4,500.00 - S$5,000.00 per Month

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We will try our best to reply all candidates within 7 working days.

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