Insurance Data & BI Analyst

ISM; Kuala Lumpur; Hybrid; MYR 60,000 - 100,000; Full time

Job summary

ISM in Malaysia is seeking a Senior Analyst to manage and analyze MHIT data, develop analytical models and business intelligence reports, and collaborate with internal teams and industry stakeholders to deliver reliable insights. The role may also involve other insurance and takaful databases.

Fresh graduates are welcome to apply for analyst-level positions, with the level of appointment depending on experience and the Senior Analyst expected to demonstrate independence, ownership and

Qualifications

• Degree in Actuarial Science, Statistics, Data Science, or related quantitative disciplines.
• Relevant experience in data analytics, with exposure to healthcare, medical insurance/takaful, or a related field. Fresh graduates are also welcome to apply for analyst-level position.
• Strong analytical and problem-solving skills, with interest in data analysis and modelling.
• Experience with tools such as SAS, R, Python, SQL, or VBA is an advantage.
• Strong attention to data quality and ability to interpret findings appropriately.
• Ability to adapt to different data structures and analytical requirements.
• Ability to work independently and collaboratively in a fast-paced team environment.
• Good stakeholder engagement skills, with the ability to translate data into meaningful insights.

Responsibilities

• Manage and maintain MHIT and other MH/Takaful databases for analysis, reporting and research.
• Support data processing and validation; investigate data quality issues.
• Analyze medical claims experience and healthcare trends.
• Assess data limitations and their implications for analytical findings.
• Develop and maintain statistical models and analytical methodologies and tools.
• Develop BI dashboards and reports translating complex data into insights.
• Support analytics projects and coordinate with stakeholders.
• Present findings clearly to technical and non-technical audiences.
• Improve and automate analytical workflows for efficiency and accuracy.

Skills

Data analytics

Stakeholder engagement

Independent work

Problem solving

Education

Actuarial Science

Statistics

Data Science

Related quantitative disciplines

Tools

SAS

R

Python

SQL

VBA

Job description

The job holder will primarily manage and analyze MHIT data, develop analytical models and business intelligence reports, and work with internal teams and industry stakeholders to deliver reliable insights. The role may also involve other insurance and takaful databases. The level of appointment will depend on experience and capabilities. A Senior Analyst is expected to demonstrate greater independence, ownership and stakeholder coordination.

Job Responsibilities

The responsibilities of the above role shall include:

• Manage and maintain Medical and Health Insurance / Takaful (MHIT) and other relevant insurance/takaful databases for analysis, industry reporting and research;
• Support data processing and validation, investigation of data quality issues and discrepancies;
• Analyze medical claims experience, healthcare trends and cost drivers;
• Assess data limitations and their implications for analytical findings;
• Develop and maintain statistical models, analytical methodologies and tools;
• Develop and enhance business intelligence dashboards and reports that translate complex data into clear and useful insights;
• Support database and analytics projects and coordinate with relevant stakeholders;
• Present analytical findings clearly to technical and non-technical audiences;
• Improve and automate analytical workflows to strengthen efficiency, accuracy and consistency.

Key Requirements

The skills and abilities required of the candidate are:

• Degree in Actuarial Science, Statistics, Data Science, or related quantitative disciplines;
• Relevant experience in data analytics, with exposure to healthcare, medical insurance/takaful, or a related field. Fresh graduates are also welcome to apply for analyst-level position;
• Strong analytical and problem-solving skills, with interest in data analysis and modelling;
• Experience with tools such as SAS, R, Python, SQL, or VBA is an advantage;
• Strong attention to data quality and ability to interpret findings appropriately;
• Ability to adapt to different data structures and analytical requirements;
• Ability to work independently and collaboratively in a fast-paced team environment;
• Good stakeholder engagement skills, with the ability to translate data into meaningful insights.