INTERNSHIP DETAILS

[Keppel Internship Programme 2026] Intern, Data Analytics (June - Aug/Dec 2026)

CompanyKeppel Ltd.
LocationSingapore
Work ModeOn Site
PostedDecember 17, 2025
Internship Information
Core Responsibilities
The intern will translate business requirements into technical specifications and define the data architecture framework. They will also collaborate with multiple departments and stakeholders to manage data flows.
Internship Type
full time
Company Size
1563
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Keppel is a global asset manager and operator with strong expertise in sustainability-related solutions spanning the areas of infrastructure, real estate and connectivity. Headquartered in Singapore, Keppel operates in more than 20 countries worldwide, providing critical infrastructure and services for renewables, clean energy, decarbonisation, sustainable urban renewal and digital connectivity. Keppel creates value for investors and stakeholders through its quality investment platforms and diverse asset portfolios, including private funds and listed real estate and business trusts, and has a total portfolio of S$91 billion of funds under management.
About the Role

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 be responsible in the following: • Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. • Defining the data architecture framework, standards, and principles. • Defining reference architecture, which is a pattern that others can follow to create and improve data systems. • Defining data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition. • Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors. Learning Outcomes: • Experience working on real-life projects that affect the revenue & profit of a multi-national company. • Experience working in a multicultural team. • End-to-end understanding of implementing a Data Project, starting from pain point discovery to user feedback.

JOB REQUIREMENTS

• Master's/Bachelor's degree in Business Analytics. • Analytical mind and business acumen. • Problem-solving aptitude. • Excellent communication and presentation skills. • Experience using business intelligence tools (e.g. PowerBI). • Knowledge of SQL and Python/R. • Understanding of data warehouse (e.g. Snowflake).

BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division
Key Skills
Data AnalyticsBusiness RequirementsTechnical SpecificationsData ArchitectureData FlowsCollaborationCommunicationPresentation SkillsBusiness Intelligence ToolsSQLPythonRData WarehouseProblem SolvingAnalytical MindBusiness Acumen
Categories
Data & AnalyticsTechnologyEnvironmental & SustainabilityEnergyConsulting