
Join AIA Malaysia as a Data Science Analyst and leverage your analytical skills to drive impactful business decisions. This role offers a unique opportunity to work with data in the insurance industry.
AIA Malaysia is seeking a Data Science Analyst to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to derive actionable insights that drive business decisions. You will collaborate with cross-functional teams to develop data-driven strategies and solutions that enhance our services and customer experience.
The ideal candidate will have a strong analytical mindset and a passion for data. You will utilize various data analysis tools and techniques to interpret trends and patterns, presenting your findings to stakeholders. This is an excellent opportunity for individuals looking to kickstart their career in data science within the insurance sector.
Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
Proficiency in data analysis tools such as Python, R, or SQL
Strong analytical and problem-solving skills
Ability to communicate complex data insights clearly
Familiarity with machine learning concepts is a plus
Team player with a proactive attitude
Company
AIA Malaysia (Insurance)
Location
Not specified
Salary
Undisclosed
Skills Required
7 skills
Click to submit your application
Data Analysis
Python
R
SQL
Analytical Skills
Communication
Teamwork
AIA Malaysia (Insurance) has not disclosed the salary for this role.
AIA Malaysia (Insurance) has not disclosed the salary for this role.
This Data Science Analyst position is based in Malaysia. This role is fully on-site.
AIA Malaysia (Insurance) is looking for Bachelor's degree in Data Science, Statistics, Mathematics, or a related field; Proficiency in data analysis tools such as Python, R, or SQL; Strong analytical and problem-solving skills.
Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-28.
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