Job Search and Career Advice Platform

Enable job alerts via email!

Data Analyst: Automate Financial Reconciliation & Insights

Etiqa Insurance Singapore

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

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
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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.