Manager / Senior Manager, Management Information

This job role is to derive business insights from large and real-time datasets for strategic planning, policy analysis as well as operational efficiency. You will develop, deploy and maintain data analytic models.

There will be opportunities to collaborate with other public agencies to introduce and enhance data science capabilities for the organisation. Being the domain expert in analytics, the role is to coordinate, strategize and guide other SSG officers on data analytics work to achieve efficiency and accuracy.

1. Research and devise appropriate statistical and machine learning models for data analysis
- E.g. Handle data requests and provide contextualised statistics to support data-driven policy and programme review, and decision-making

2. Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
- E.g. Manage data collection, processing, compilation and reporting of Continuing Education and Training (CET) statistics to relevant internal and external stakeholders

3. Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy

4. Keen sense in value of data relating to business objectives
- E.g. Manage and coordinate the design and conduct of primary research studies including CET-related surveys and outcome review studies for key SSG’s initiatives;
5. Perform statistical analysis and build prototype analysis pipelines iteratively to provide insights at scale
- E.g. Conduct analysis of CET data and CET-related survey results and studies to generate and share insights using visualisation dashboards to inform policy and programme review and design

6. Communicate analytic solutions and insights to stakeholders and implement improvements as needed to operational systems
- Manage data collection, processing, compilation and reporting of CET statistics to relevant internal and external stakeholders

7. Build data analytics capabilities across SSG

i. Work experience and competencies
- Tertiary qualification in quantitative discipline: Computer Science, Economics Statistics or Applied Maths, or 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational discipline.
- Good knowledge in data visualisation tools like Tableau and data analysis / processing tools like R / Python.
- Strong analytical, communication and presentation skills to communicate complex quantitative analysis in a clear, precise and actionable manner.
- Data engineering experience, including SQL and experience in manipulating structured and unstructured data sources for analysis.
- Able to understand policy concerns and analyse data in support of policy development and evaluation.
- Able to work collaboratively with internal and external stakeholders.
- Able to communicate well (both in writing and in speech).
- Able to prioritise and monitor progress of work tasks effectively, so as to ensure that deliverables are met in a timely manner.
- Experience in Cloud Technology like AWS data and analytics Tech Stack will be advantageous.
- Experience in building machine learning models at scale, using real-time data pipelines on platforms will be advantageous.
- Advanced pattern recognition and predictive modelling skills will be advantageous.
- Experience or specialization in Jobs and Skills related analysis will be advantageous.
- For Manager position, fresh graduates are welcome to apply.

ii. Personal Traits
- Adaptable and quick learner.
- Comfortable working in a fast-paced and dynamic environment.
- Resourceful and has a strong drive to get things done.
- Strong interpersonal skills to collaborate with different teams and agencies.