Senior Insurance Data & Analytics BI Specialist

ISM Insurance Services Malaysia Berhad

Kuala Lumpur

On-site

MYR 60,000 - 100,000

Full time

6 days ago
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Job summary

ISM Insurance Services Malaysia Berhad is seeking a Senior/Analyst level Business Intelligence professional to manage MHIT data and other insurance/takaful databases for analysis, reporting and research. You will build statistical models and BI dashboards, work with internal teams and external stakeholders, and drive data quality and automation in a fast-paced environment.

Fresh graduates are welcome for analyst level; experience with SAS, R, Python, SQL or VBA is an advantage.

Qualifications

  • Degree in Actuarial Science, Statistics, Data Science, or related quantitative disciplines.

Responsibilities

  • Manage and maintain MHIT and other relevant 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.

Skills

Analytical thinking
Problem solving
Stakeholder engagement
Data modelling

Education

Actuarial Science

Tools

SAS
R
Python
SQL
VBA

Job description

ISM Insurance Services Malaysia Berhad is seeking a Senior/Analyst level Business Intelligence professional to manage MHIT data and other insurance/takaful databases for analysis, reporting and research. You will build statistical models and BI dashboards, work with internal teams and external stakeholders, and drive data quality and automation in a fast-paced environment.

Fresh graduates are welcome for analyst level; experience with SAS, R, Python, SQL or VBA is an advantage.

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