Data Analyst

Etiqa Insurance Singapore; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading insurance firm in Singapore is looking for a dynamic individual to optimize key financial processes. The ideal candidate will develop and maintain Python-based workflows and must have strong hands-on experience in Python for data processing and automation. This role offers an opportunity to work with diverse teams and make a significant impact in the financial control area. Fresh graduates are encouraged to apply, with a supportive environment for continuous learning and growth.

Qualifications

• Strong hands-on experience in Python for data processing and automation.
• Working knowledge of SQL or similar technologies is an advantage.
• Familiarity with financial statements and reconciliation processes preferred.

Responsibilities

• Develop and maintain Python-based workflows for key financial control processes.
• Build automated data pipelines and reconciliation models.
• Partner with Finance and Accounting to translate needs into automated solutions.

Skills

Python for data processing

Communication skills

Problem-solving

Education

Degree in Actuarial Science, Analytics, Finance, Economics, Mathematics, Statistics, Information Systems

Tools

SQL

Microsoft Access

VBA

Job description

Etiqa is looking for a dynamic individual to join our team. Do you have what it takes?

Are you:

• Passionate about working with people?
• A creative thinker with a positive attitude & outlook?
• A strong dynamic communicator able to collaborate effectively?
• Willing to learn, adapt & grow in a fast paced work environment?

WANT TO MAKE A DIFFERENCE?

This exciting proposition allows you to work with Etiqa, a leader in the insurance sector, optimizing your unique skill set, and getting onboard our journey towards “Making The World A Better Place”.

SCOPE OVERVIEW

• Develop and maintain Python-based workflows to support bank reconciliation, balance sheet reconciliation, and other key financial control processes.
• Build automated data pipelines and reconciliation models to improve accuracy, efficiency, and auditability of financial reporting.
• Design and enhance tools for financial data validation, exception management, and dashboard generation.
• Partner with Finance, Accounting, and Business teams to translate reconciliation needs into scalable, automated solutions.
• Continuously improve existing scripts and processes to strengthen controls and reduce manual effort.

IDEAL CANDIDATE

• Degree in Actuarial Science, Analytics, Finance, Economics, Mathematics, Statistics, Information Systems, or other quantitative fields.
• Strong hands-on experience in Python for data processing, reconciliation, automation, and scripting (mandatory).
• Working knowledge of SQL, Microsoft Access, VBA, or similar technologies is an advantage.
• Familiarity with financial statements, accounting concepts, and reconciliation processes preferred.
• Excellent problem-solving skills with the ability to translate business requirements into technical solutions.
• Strong communication and presentation abilities to engage non-technical stakeholders.
• Fresh graduates will be considered as well.