Location: One-North, Singapore
Employment Type: Contract (12 Months)
Salary Range: $3,800 – $4,900/month (commensurate with experience)

REQUIREMENTS

• Bachelor’s degree in Computer Science , Information Systems , Business Analytics , Data Science , AI , or related technical field.
• At least 3 years of experience developing advanced analytics or data science solutions.
• Proficient in Microsoft Power BI (including UI/UX, DAX, Power Query).
• Hands-on experience in Python and associated machine learning libraries .
• Familiar with enterprise data and analytics ecosystems and tools (e.g., Azure , SAP , Snowflake , Databricks ).
• Strong collaboration skills with ability to translate business needs into data-driven solutions.
• Experience in finance and budgeting processes is a plus.
• Experience with Azure cloud services is an advantage.

ABOUT THE ROLE

We are looking for a resourceful and technically strong Data Analyst – Assistant Manager to join a dynamic team driving enterprise analytics initiatives within a key public sector agency. This role sits at the intersection of data, business, and technology—delivering end-to-end analytics solutions and championing data adoption across the organization.
You will work closely with cross-functional stakeholders to co-develop dashboards, reports, and machine learning-enabled solutions that deliver real business impact.

KEY RESPONSIBILITIES

• Collaborate with business users to design and deliver full-cycle analytics solutions, from requirements gathering and data pipeline design to dashboard/report development and deployment.
• Develop and maintain reports and dashboards using Power BI , integrating data from SAP S/4HANA, Ariba, SAP Analytics Cloud , and other enterprise platforms.
• Use cloud-native tools like Azure Data Factory , Databricks , and Snowflake to build scalable data solutions.
• Work with technology, data engineering, and policy teams to enhance the enterprise analytics platform and develop reusable analytics tools and assets.
• Monitor and optimize the performance of deployed data products and dashboards.
• Support ongoing maintenance of the data infrastructure and provide analytics operational support.
• Contribute actively to the Analytics Centre of Excellence (COE) by sharing knowledge, promoting best practices, and advancing analytics maturity across the organization.
• Design and deliver training workshops to strengthen data capabilities internally.
• Support other data-related projects and initiatives as required.