Manager, Operations Data Management

Agency for Integrated Care; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agency for Integrated Care in Singapore seeks a senior data analytics professional to lead data analytics and BI initiatives across the organisation. You will transform data from multiple sources into actionable insights, build dashboards and reports, and partner with stakeholders to drive informed decision-making in healthcare services.

The role requires extensive experience in data analytics, strong skills in SQL, Python and BI tools, and the ability to manage multiple priorities in a

Qualifications

• Degree in a data-related field; healthcare experience is advantageous.
• Minimum 8 years in data analytics, BI or data science with project leadership.
• Proficiency in data wrangling, analysis, visualization and reporting.

Responsibilities

• Extract, clean, transform and integrate data from multiple sources for analytics and reporting.
• Conduct data analysis to identify trends and insights for strategic decisions across AIC.
• Develop dashboards, reports and visualisations to communicate findings and support performance monitoring.
• Collaborate with stakeholders to translate business needs into analytical outputs and recommendations.
• Apply analytics best practices to improve data quality, accuracy and efficiency.
• Contribute to data governance and metadata management efforts.
• Enhance data availability and accessibility for reporting and analysis.
• Document processes, assumptions and findings for transparency and reproducibility.

Skills

Analytical thinking

Problem solving

Stakeholder engagement

Education

Degree in Data Science, Business Analytics, Statistics, Computer Science, Information Systems or related

Tools

SQL

Python

Power BI

Tableau

Job description

Company description

The Agency for Integrated Care (AIC) aims to create a vibrant care community for people to live well and age gracefully. AIC coordinates and supports efforts in integrating care to achieve the best care outcomes for our clients. We reach out to caregivers and seniors with information on staying active and ageing well, and connect people to services they need. We support stakeholders in their efforts to raise the quality of care, and also work with health and social care partners to provide services for the ageing population. Our work in the community brings care services and information closer to those in need. For more about us, please visit https://www.aic.sg.

Job description

• Extract, clean, transform and integrate data from multiple sources to ensure data quality, consistency and usability for analytics and reporting purposes.
• Conduct data analysis to identify trends, patterns and insights that support strategic and operational decision-making across AIC.
• Develop dashboards, reports and visualisations to communicate findings and support performance monitoring and operational planning.
• Work closely with stakeholders and operational teams to understand business requirements and translate them into analytical outputs and recommendations.
• Apply established analytical methodologies, standards and best practices to improve the quality, accuracy and efficiency of data analysis activities.
• Support data governance efforts by contributing to data quality management, metadata management and the responsible use of data assets.
• Collaborate with relevant teams to enhance data availability, reliability and accessibility for reporting and analytical purposes.
• Document analytical processes, assumptions and findings to support transparency, reproducibility and knowledge sharing.

Job requirements

• Degree in Data Science, Business Analytics, Statistics, Computer Science, Information Systems or a related discipline. Experience in the healthcare sector will be advantageous.
• At least 8 years of relevant experience in data analytics, business intelligence, data science or related fields, including experience leading analytical projects or workstreams.
• Experience in data preparation, data wrangling, analysis, visualisation and reporting.
• Proficiency in data querying, analysis and visualisation tools such as SQL, Python, Power BI, Tableau or equivalent platforms.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable insights.
• Knowledge of statistical analysis, machine learning or AI techniques will be advantageous.
• Strong written and verbal communication skills, with the ability to engage stakeholders and present analytical findings clearly.
• Proactive, detail-oriented and able to manage multiple priorities while delivering quality outputs within tight timelines.