Job Title: Assistant Manager / Manager, Procurement (Business Analyst)
University-Level Unit: Central Procurement Office
Faculty/Department-Level Unit: Category Management
Employee Category: Executive & Administrative
Posting Start Date: 26/05/2026
Location_ONB: Kent Ridge Campus
About The Role
The incumbent will support the Senior Business Analyst in the Analytics & Assurance team within the Central Procurement Office (CPO). The role focuses on front-end data analytics, dashboard development, reporting, workflow automation, and AI-enabled process improvement to support procurement operations and management decision-making.
Job Description
- Dashboarding, Reporting and Insights
- Design, develop, and maintain Power BI dashboards and reports for procurement KPIs, operational metrics, and management reporting.
- Translate data into clear, actionable insights and recommendations for stakeholders.
- Support recurring and ad hoc reporting requirements for business and management needs.
- Spend Analysis and Data Support
- Analyse procurement and spend data to identify trends, savings opportunities, compliance gaps, and areas for process improvement.
- Support data validation, cleansing, and preparation to improve reporting quality and reliability.
- Generate insights to support planning, performance monitoring, and decision-making.
- Automation and Workflow Improvement
- Design and implement workflow automations using Microsoft Power Automate or similar tools to streamline reporting, notifications, tracking, and operational processes.
- Identify opportunities to reduce manual effort and improve efficiency through digitalisation.
- Support continuous improvement of reporting and operational workflows.
- AI-Assisted Projects and Innovation
- Support the use of AI-assisted tools to enhance reporting, document analysis, workflow efficiency, and decision support.
- Participate in pilot projects and implementation of practical AI use cases in procurement operations.
- Explore and recommend suitable AI-enabled solutions to improve productivity and business processes.
Other duties assigned by the Department or the University.
Qualifications
- Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Engineering, Accountancy, Business, Finance, or a related field.
- Minimum 1–2 years of relevant experience in data analytics, reporting, process automation, or related areas.
- Candidates with stronger relevant experience may be considered for appointment at Manager level.
- Experience in procurement, finance, operations, or compliance analytics will be an advantage.
Technical Skills Required
- Proficiency in Power BI, Qlik, or similar data visualisation tools.
- Strong working knowledge of Microsoft Excel for data analysis and reporting.
- Working knowledge of SQL, data modelling, and data transformation concepts.
- Hands-on experience with Microsoft Power Automate or similar workflow automation tools.
Preferred Skills
- Experience with Python or R for data analysis, scripting, or automation.
- Exposure to Microsoft Fabric, Azure Data Factory, SQL Server, or other modern data platforms.
- Familiarity with AI tools and platforms such as Claude, Gemini, Microsoft Copilot, or generative AI APIs.
Competencies
- Strong analytical thinking and problem-solving skills.
- Good attention to detail and commitment to data quality.
- Ability to translate analysis into practical business insights and recommendations.
- Good communication and stakeholder management skills.
- Proactive, adaptable, and keen to learn new tools and technologies.
- Strong collaboration skills and ability to work across functions
Additional Information
- Experience in higher education, public sector, or healthcare sectors is advantageous.
- Familiarity with procure-to-pay (P2P) processes is preferred.
- Experience in implementing automation for compliance tracking or operational workflows will be an advantage.
