- Location
- SGP Kallang Place, Singapore
- Type
- Internship
- Department
- Management
- Seniority
- Internship
- Source
- Workday
Description
JOB DESCRIPTION
Keppel is a leading global asset manager and operator with strong capabilities in energy & environment, urban development and connectivity, creating solutions for a sustainable future.
The intern will supporting the following key initiatives:
The successful Digitisation of the Investment and Development processes for potential investment opportunities through:
• Development and maintenance of Power BI dashboards by integrating data from platforms such as Procore, SharePoint, and Excel, ensuring data consistency and reliability
• Perform data extraction, cleaning, transformation, and modelling using Power BI (Power Query and DAX)
• Design and develop executive-ready dashboards and visualisations with strong emphasis on clarity, usability, and UI/UX principles
• Support development of Power Apps solutions, including UI/UX design and workflow functionality for programme management use cases
• Support implementation of Power Automate workflows, integrating systems such as SharePoint and Power BI to streamline and automate processes
• Support development and maintenance of data infrastructure, including structuring datasets, managing data flows, and ensuring alignment with single source of truth (SSOT) principles
• Apply data analytics techniques to support reporting, insights generation, and financial analysis or projections
• Support creation of user stories, story points, and test cases, and assist in conducting User Acceptance Testing (UAT), including UI/UX research and validation of solutions
• Conduct research on digitisation initiatives and automation opportunities, and support preparation of proposals for process improvement
• Participate in discussions with internal stakeholders, developers, and vendors on system requirements and enhancements
• Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / Head of Department from time to time
JOB REQUIREMENTS
Learning Outcomes:
• Gain hands on exposure to data-driven programme management and reporting workflows in a real-world environment
• Develop practical skills in Power BI, Power Apps, Power Automate, and data integration across enterprise platforms
• Gain understanding of data infrastructure, data modelling, and dashboard UI/UX design principles
• Build capabilities in data analytics, financial reporting, and digital process optimisation
• Develop experience in cross-functional collaboration with technical teams, stakeholders, and management
Job Requirements:
• University undergraduate from Engineering, Business, Data Analytics, Computer Science or related disciplines, with demonstrated interest in data and digital solutions
• Proficient in Microsoft Excel and PowerPoint
• Strong proficiency in Power BI (Power Query and DAX)
• Strong understanding of data visualisation and UI/UX principles, with ability to design clear and effective dashboards
• Working knowledge of SQL and relational database concepts
• Experience or familiarity with Microsoft Power Platform (Power Apps, Power Automate)
• Basic understanding of data infrastructure and data management concepts
• Excellent communication skills, with the ability to clearly articulate ideas, data, and technical concepts to both technical and non-technical stakeholders
• Ability to translate data outputs into clear and actionable insights
• Strong organisational, interpersonal, and problem-solving skills
• Familiarity with SharePoint Online and enterprise platforms (e.g. Procore) is an advantage
• Familiarity with construction/project financial metrics, programme management concepts, and project management tools (e.g. Microsoft Project, Primavera P6) is an advantage
• Familiarity with Agile methodologies (e.g. Scrum), including exposure to user stories, UAT processes, and UI/UX research, is an advantage
• Exposure to Python, API/data connectivity concepts, or front-end development (e.g. React, TailwindCSS) is an advantage
• Exposure to NLP, LLM, or AI-related concepts is an added advantage
