Data Analyst

ETIQA INSURANCE PTE. LTD.; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading insurance provider in Singapore is seeking a dynamic individual to join their team. The ideal candidate will have a degree in a quantitative field and strong skills in SQL, Python, and data scraping. This role involves developing data models to support business decisions and driving automation in reporting processes. Join us to make a difference in the insurance sector!

Qualifications

• Degree in a quantitative related field is required.
• Working knowledge of web and data scraping is mandatory.
• Excellent presentation skills are a plus.

Responsibilities

• Develop data models and generate insights for decision-making.
• Build capabilities in advanced business intelligence and big data.
• Drive report automation using business intelligence tools.

Skills

Strong dynamic communicator

Ability to collaborate effectively

Creative thinker

Passion for working with people

Education

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

Tools

SQL

Microsoft Access

VBA

Python

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 data models, analysis and generate insights to help make business decisions.
• Build new capabilities in the area of advanced business intelligence and big data.
• Drive reports automations using a business intelligence tool enabling data driven discussions and planning

IDEAL CANDIDATE

• Degree in Actuarial Science, Analytics, Finance, Economics, Mathematics, Information Systems, Statistics, or other quantitative related fields
• Working knowledge in web and data scrapping, SQL/Microsoft Access/VBA/Python is mandatory
• Excellent presentation skill would be an advantage

We regret to inform that only shortlisted candidates will be contacted.