Manager (Data Analyst, Property Tax Division)
at IRA Inland Revenue Authority of Singapore
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 23 Apr, 2025 | Not Specified | 24 Jan, 2025 | N/A | Good communication skills | No | No |
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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
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Computer Science, Business, Engineering, Mathematics, Operations, Statistics
Proficient
1
Singapore, Singapore