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[Keppel Internship Programme 2027] Intern, Data Analytics (Jan - May 2027)

Keppel · Singapore

  • Financial Services & Banking
  • 10,001+ employees
  • Singapore

Weak hiring record · median 98 days open

4444

Hiring signal

Stale

Open 97 days · How we score

All reasons
  • Open 97 days
  • 64% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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[Keppel Internship Programme 2027] Intern, Data Analytics (Jan - May 2027) at Keppel. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

'Support analysis and data modeling to identify opportunities for improving business and investment decision-making

  • Assist in gathering and analyzing data related to investments, and asset operations
  • Work with cross-functional teams to understand business objectives and translate them into analytical problem statements
  • Conduct exploratory analysis to identify trends, risks, and opportunities
  • Evaluate potential solutions, including their risks, benefits, and impact, using data-driven approaches
  • Prepare clear analyses, presentations, and documentation to communicate insights to stakeholders
  • Contribute to analytics initiatives, dashboards, or prototypes that enable better decision-making for business users
  • Support workshops, user discussions, or training sessions where required
  • Assist in documenting processes, analytical frameworks, and data methodologies

Learning Outcomes

'Exposure to the various industries across Keppel businesses – asset management, energy & environment, connectivity and urban development. Gain a strong understanding of the investment life cycle.

JOB REQUIREMENTS

Strong interest in data analytics, business analysis, or data science

  • Basic understanding of fund management, investments, real assets, or financial concepts is preferred
  • Comfortable working with data and analytical tools (e.g. SQL, Python, BI tools)
  • Strong analytical thinking and problem-solving skills
  • Clear written and verbal communication skills
  • Curious, proactive, and willing to learn in a fast-moving environment

BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division

Skills

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