Finance Intern: Data-Driven Automation for Reporting

CapitaLand

Singapore

On-site

SGD 13,000 - 20,000

Full time

7 days ago
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Job summary

CapitaLand Development (CLD) invites applications for a Finance Intern position in Singapore. You will gain hands-on experience in finance operations, supporting reporting, data analysis, and workflow documentation within a dynamic team.

You will collaborate with internal teams, contribute to automation initiatives using tools like Power Automate, and develop analytical skills while learning financial systems in a real-world setting.

Qualifications

  • Currently pursuing a degree in Finance, Accounting, Business, or related field.
  • Proficient in Microsoft Excel, Power Automate, and other Office applications.
  • Strong attention to detail and organizational skills.
  • Good communication and teamwork abilities.
  • Willingness to learn and contribute in a dynamic finance environment.

Responsibilities

  • Support the Finance team in preparing reports and presentations for internal stakeholders.
  • Participate in the financial reporting process through data collection, validation, and analysis.
  • Collaborate with internal teams to gather information and support finance operations.
  • Assist in automation initiatives and implementation of tools that drive efficiency.
  • Identify opportunities for process improvement and support documentation of workflows.

Skills

MS Excel
Power Automate
Office apps
Attention to detail
Organizational skills
Communication
Teamwork

Education

Pursuing degree in Finance/Accounting/Business

Tools

CapitaLand systems

Job description

CapitaLand Development (CLD) invites applications for a Finance Intern position in Singapore. You will gain hands-on experience in finance operations, supporting reporting, data analysis, and workflow documentation within a dynamic team.

You will collaborate with internal teams, contribute to automation initiatives using tools like Power Automate, and develop analytical skills while learning financial systems in a real-world setting.

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