Manager (Data Analyst, Property Tax Division)
Public Service Division · Singapore
IT Services and IT Consulting · 1,001-5,000 employees
About the role
The role involves deploying advanced analytical and AI techniques to drive business improvements and process re-engineering. You will also analyze property and stamp duty data to support policy reviews and develop management dashboards.
What they look for
Requirements
Candidates must hold a degree in a quantitative field such as Data Science, Statistics, or Computer Science. Proficiency in SQL and Python is mandatory, along with strong communication skills to translate technical insights for business partners.
Full description
[What the role is]
At IRAS, we partner you to deliver quality services and foster a competitive tax environment for our nation's social and economic growth. By leveraging digital capabilities as part of a future-ready team, your opportunities keep expanding.
We are looking for committed team players to join us to apply your expertise and work with agile development teams to re-engineer business processes, perform functionality test and deliver the next generation system that improves how taxpayers connect and interact with us.
[What you will be working on]
- Explore, experiment, and deploy emerging analytical/ AI techniques, including advanced techniques such as geospatial analytics for continuous business improvements and best practices to continuously keep abreast of the latest development in analytics
- Extract and analyse property and stamp duty data for policy reviews, research studies and solve business problems
- Leverage data analytics and automation tools for compliance and valuation work as well as to improve the operational performance of the Division
- Work closely with stakeholders to identify opportunities and drive data and analytics projects
- Develop dashboards for management reporting and information retrieval by the Division
[What we are looking for]
- Degree in Data Science, Statistics, Engineering, Computer Science, Mathematics, Operations Research, Business Analytics or equivalent analytics fields
- Prior experience in data analytics/mining, machine learning and AI area is strongly preferred
- Proficiency in SQL and Python is a must. Experience in SAS, R, PowerBI, etc. is a plus
- Strong written and verbal communication skills and ability to explain technical solutions and actionable insights to the business users and partners
- Self-driven and motivated
- Ability to question, probe and analyse
- Resourceful and able to work independently in a team environment
- Chartered AI Engineer (CAIE™) will be an added advantage
