Key Responsibilities:
1.
Data Management & Analytics
- Collect, clean, and consolidate data from multiple sources, including Active Ageing Centre, senior care centers, operations, manpower deployment, finance, and client engagement metrics
- Conduct in-depth data analysis to identify trends, anomalies, and opportunities for improvement
- Ensure data accuracy, consistency, and integrity across systems.
2.
Insights Generation & Decision Support
- Translate complex data sets into meaningful insights and recommendations for management reports, policy decisions, and service planning
- Support the development of key performance indicators (KPIs) across cost efficiency, manpower utilisation, and programme outcomes
- Partner with operations and finance teams to identify areas for productivity enhancement and cost optimisation.
3.
Dashboard Development & Data Visualisation
- Design and maintain interactive dashboards and reports (e.g. Power BI, Tableau, or equivalent) to visualise operational and financial performance
- Automate recurring reports and visualisations for senior management and centre-level users
- Present analytical findings through clear, intuitive visuals that support data-driven storytelling
4.
Continuous Improvement & Sector Innovation
- Work closely with centre leaders to develop analytical tools for monitoring service efficiency and impact
- Contribute to initiatives that leverage data for preventive care, early intervention, and active ageing insights
- Stay abreast of developments in analytics, AI, and data visualisation relevant to the healthcare and social service sectors
Key Data Domains You Will Work With
- Operational Metrics: Centre utilisation rates, activity participation, client engagement levels
- Manpower Analytics: Staffing ratios, workload allocation, manpower cost efficiency
- Financial Efficiency: Operating costs, cost recovery ratios, funding utilisation
- Programme Outcomes: Impact metrics for wellness, social connectedness, and active ageing participation
Job Holder Requirements and Qualifications:
- Qualification: Bachelor's Degree in Data Analytics, Statistics, Business Analytics, Information Systems, or related discipline.
Certification or working knowledge of Power BI, Tableau, or equivalent analytics tools.
- Experience: At least 3 years of relevant experience in data analytics, preferably within healthcare, community care, or public sector settings.
Experience in developing dashboards and generating business insights.
Exposure to financial or manpower analytics will be an advantage.
Other Knowledge / Skills / Attributes:
- Strong analytical mindset with attention to detail and data integrity
- Proficient in SQL, Excel, and data visualisation tools
- Ability to communicate complex data simply and persuasively to non-technical stakeholders
- Passionate about improving outcomes for seniors and advancing data-driven innovation in the care sector
We regret to inform you that only shortlisted candidates will be notified.
Note: In compliance with Personal Data Protection guidelines, we do not require an indication of your NRIC or Foreign Identification numbers in your CV/Job Application Form.
Your CV and/or Job Application will be retained for 1 year, and we will respectfully destroy these documents thereafter (in the event your job application is unsuccessful).
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