Life Insurance Data Analyst — APAC (Hybrid)

Partnerre; Singapore; Hybrid; SGD 60,000 - 100,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

PartnerRe is seeking a data analyst to join the Life Operations APAC team. You will manage data, ensure quality, and collaborate with actuaries and accountants across departments to support financial studies and reporting.

You will extract data, develop quality controls, and produce insights for client accounts while contributing to process improvements and documentation. This role emphasizes accuracy and cross-functional collaboration.

Qualifications

• 3–5 years of experience in data analyst, data operations, or similar role.
• Degree or Diploma holder with relevant experience.
• Experience in Life re/insurance, actuarial support, or data management is preferred.
• Strong proficiency in Excel and R for data preparation and analysis.
• SQL or Python knowledge is a plus for data extraction and querying.

Responsibilities

• Extract and load data into the system, including data and plan mapping for clients.
• Ensure data quality—data must be complete, accurate, consistent, and timely.
• Maintain and enhance documentation and controls related to configuration plans and testing.
• Develop tools to streamline data management and quality controls.
• Monitor client account data and produce summary reports highlighting trends.
• Participate in projects and other ad hoc duties as assigned.

Skills

Excel

R

Data analysis

Communication

Problem solving

Education

Degree or Diploma

Tools

SQL

Python

Excel (Advanced)

Job description

PartnerRe is seeking a data analyst to join the Life Operations APAC team. You will manage data, ensure quality, and collaborate with actuaries and accountants across departments to support financial studies and reporting.

You will extract data, develop quality controls, and produce insights for client accounts while contributing to process improvements and documentation. This role emphasizes accuracy and cross-functional collaboration.