Work Location: Near to Paya Lebar MRT
Working Hours: Mon - Thurs: 9.00AM - 6.30PM, Fri: 9.00AM - 6.00PM
What is the scope?
• Develop and drive data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices
What you will be working on
This job role reports to an Assistant Director/ Principal Manager and 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 officers on data analytics work to achieve efficiency and accuracy.
The candidate will be part of the Division to perform the following key tasks and any other tasks as assigned by his/her supervisor(s):
- 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 - Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
E.g. Manage data collection, processing, compilation and reporting of statistics to relevant internal and external stakeholders - 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
- Keen sense in value of data relating to business objectives
E.g. Manage and coordinate the design and conduct of primary research studies including related outcome review studies for key initiatives; - Perform statistical analysis and build prototype analysis pipelines iteratively to provide insights at scale
E.g. Conduct analysis of data and all-related results and studies to generate and share insights using visualisation dashboards to inform policy and programme review and design - Communicate analytic solutions and insights to stakeholders and implement improvements as needed to operational systems
Manage data collection, processing, compilation and reporting of statistics to relevant internal and external stakeholders - Build data analytics capabilities across the organisation.
What we are looking for
- Tertiary qualification in a quantitative discipline (Computer Science, Economics, Statistics, Applied Maths) or 3 to 8 years of relevant experience
- Proficiency in data visualization (e.g., Tableau) and analysis tools (e.g., R, Python, Excel)
- Strong analytical, communication, and presentation skills
- Experience with SQL, data engineering, and manipulation of data sources
- Ability to support policy development and evaluation through data analysis
- Collaborative spirit with strong interpersonal skills for working with various teams and stakeholders
- Experience in Cloud Technology (e.g., AWS) and real-time data pipelines preferred
- Advanced skills in machine learning, pattern recognition, and predictive modelling are advantageous
- Specialization in Jobs and Skills analysis is a plus
- Adaptable, quick learner, comfortable in a fast-paced environment
- Resourceful with a strong drive to achieve results
- Excellent interpersonal skills for effective collaboration
- Applicants without the required experience are welcome to apply
**We regret that only shortlisted candidates will be notified**
Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job/apply/7443
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EA License No: 01C4394
EA Personnel ID: R1108331
EA Personnel Name: Janelle Katherine Hoeden
