Data Analyst

Etiqa Insurance Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A prominent insurance company in Singapore is on the lookout for a dynamic individual to join their team. The role involves developing and maintaining Python-based workflows for bank and balance sheet reconciliation, improving financial reporting accuracy through automated data pipelines, and partnering with business teams to enhance existing financial processes. The ideal candidate holds a degree in a quantitative field and possesses strong hands-on experience in Python and excellent problem-solving skills.

Qualifications

• Mandatory experience in Python for data processing, reconciliation, automation, and scripting.
• Familiarity with financial statements, accounting concepts, and reconciliation processes preferred.

Responsibilities

• Develop and maintain Python-based workflows for financial control processes.
• Build automated data pipelines and reconciliation models.
• Design and enhance tools for financial data validation and dashboard generation.
• Partner with finance and accounting teams to translate needs into solutions.
• Continuously improve existing scripts to strengthen controls.

Skills

Strong hands-on experience in Python

Excellent problem-solving skills

Strong communication and presentation abilities

Education

Degree in Actuarial Science, Analytics, Finance, Economics, Mathematics, Statistics, Information Systems or other quantitative fields

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.