Data Analytics Intern: Investment Insights

Keppel (Infrastructure Division); Singapore; On-site; SGD 8,900 - 13,000; Part time

Job summary

Keppel invites interns to join its Corporate PLATFORM Operating Division and gain exposure to energy, environment, urban development and connectivity projects. You will support analysis, data modeling, and data gathering to inform investment decisions.

Through hands-on projects, you will work with SQL, Python and BI tools, develop dashboards, and contribute to analyses and presentations for stakeholders. Ideal candidates are curious, proactive and eager to learn in a fast-moving environment.

Qualifications

• Strong interest in data analytics, business analysis, or data science.
• Comfortable working with data and analytical tools (e.g. SQL, Python, BI tools).
• Clear written and verbal communication skills.
• Curious, proactive, and willing to learn in a fast-moving environment.

Responsibilities

• 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 translate business objectives into analytical problem statements.
• Conduct exploratory analysis to identify trends, risks, and opportunities.
• Evaluate potential solutions using data-driven approaches and communicate findings.
• Prepare analyses, presentations, and documentation for stakeholders.
• Contribute to analytics initiatives, dashboards, or prototypes for better decision-making.
• Support workshops, user discussions, or training sessions when required.
• Assist in documenting processes, analytical frameworks, and data methodologies.

Skills

Analytical thinking

Communication skills

Curious & proactive

Willing to learn

Tools

SQL

Python

BI tools

Job description

Keppel invites interns to join its Corporate PLATFORM Operating Division and gain exposure to energy, environment, urban development and connectivity projects. You will support analysis, data modeling, and data gathering to inform investment decisions.

Through hands-on projects, you will work with SQL, Python and BI tools, develop dashboards, and contribute to analyses and presentations for stakeholders. Ideal candidates are curious, proactive and eager to learn in a fast-moving environment.