Assistant Manager/ Senior Executive, Operations Data Management
Job Description
- Transform, clean and integrate data to ensure quality and usability for downstream analytics and reporting purposes
- Apply Machine Learning and AI solutions to solve complex problems in support of national programmes
- Conduct in-depth data analysis to deliver data-driven insights, identify trends, patterns, and anomalies to support the organisation's operational decision-making processes
- Create and maintain visualisations, automated dashboards, and reports to effectively communicate insights
- Work closely with strategic stakeholders and operational teams to ensure successful delivery of data analysis projects, including routine data requests
- Implement and advocate for best practices in data processing, including methodologies, governance, quality, security, and data dictionary management
- Analyse geospatial data to support targeted resident outreach planning
- Stay current with emerging trends in data analytics, AI/ML (including GenAI), and health and community care technologies
Job Requirements
- Degree in Computer Science, Data Science, Economics, Business Analytics, Statistics, Mathematics or related discipline, preferably 2-5 years of related working experiences.
- Proficient in:
- Python & SQL programming with Git workflow
- Microsoft Office suite with Copilot
- Data visualisation tools (e.g., Tableau, Power BI)
- Relational databases & Data lake platforms
- Machine learning operations (MLOps) platforms
- GenAI tools (e.g., ChatGPT, Claude, NotebookLM)
- Experience in data analytics, including data wrangling, analysis, visualisation with strong knowledge in data structures and mining algorithms
- Knowledge in statistical learning, machine learning and probabilistic models
- Strong problem-solving mindset and gap analysis framework thinking