Senior Executive, Data Analytics

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.

1. 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.

1. 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.

1. 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.

Requirements

Qualifications:

• 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.

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.

Please send your resume to  indicating current and expected salary.

We regret that only shortlisted candidates will be notified.

Note: In compliance with Personal Data Protection guidelines, we do not require indication of your NRIC or Foreign Identification numbers in your CV/Job Application Form. Your CV and/or Job Application will be retained for a period of 1 year, and we will respectfully destroy these documents thereafter (in the event your job application is unsuccessful).

This is in partnership with the Employment and Employability Institute Pte Ltd ("e2i").

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to PCF Sparkle Care's PDPA and e2i's PDPA.