Actuarial Data Analyst
Chubb Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at Chubb. Bangkok · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Catalog data sources with their metadata, lineage and classification so teams can trace what supports reporting
- Build aggregations and algorithms for reporting and analytics, then make small updates to dashboards and visualization apps
- Work with business teams to clarify analytics needs, find the data sources and examine the full data lifecycle
- Use analysis to surface insights for dashboards and business KPIs, and recommend fixes for source-data quality issues
- Share findings across teams and coordinate with data engineers on pipeline scale and data delivery when needed
What you bring
- You have three to five years in actuarial analytics or a related analytical role
- You bring SQL, database or data-science experience, plus familiarity with data and analytics frameworks
- You can explain analytical findings and approaches clearly to business stakeholders and cross-functional teams
- You understand data security policies and procedures
Who this fits
This role suits someone focused on actuarial data analysis who can support reporting and decisions across underwriting, pricing and claims. Auto insurance experience and an actuarial degree are preferred; an actuarial exam qualification is not required. The role is based in Bangkok, Thailand.
From the employer
Role Summary
The Actuarial Data Analyst will support underwriting, pricing, and claims analytics activities by analyzing data, developing insights, and partnering with business stakeholders to support reporting and decision-making.
Responsibilities
- Document data sources in the enterprise data catalog with metadata, lineage, and classification information.
- Develop aggregations and algorithms needed for reporting and analytics with low to moderate complexity.
- Implement minor changes to existing data visualization applications and reporting dashboards.
- Document modifications made to reporting applications.
- Partner with business teams to analyze requirements and identify data sources needed for analytics and reporting applications.
- Conduct full data lifecycle analysis to develop new insights for analytics and reporting dashboards.
- Provide recommendations to address data quality issues with source systems.
- Communicate approaches and findings with cross-functional teams.
- Build analytical tools to provide actionable insights into key business KPIs.
- Work with data engineers to optimize pipelines for scalability and data delivery when needed.
Qualifications
- Bachelor’s degree or higher in Actuarial Science or a related field preferred.
- 3–5 years of experience in actuarial analytics or a related analytical background.
- Auto insurance experience preferred.
- Intermediate English communication skills.
- Major in Actuarial Science preferred.
- Actuarial exam qualification is not required.
Technical Skills
- Strong analytical skills with the ability to research, assess, and develop observations and findings.
- Experience with SQL, databases, and/or data science.
- Some programming skills in Java, Python, and SQL are preferred.
- Experience with data and analytics frameworks supporting data lakes, warehouses, marts, reporting, and similar environments.
- Experience with data tools for visualization, analytics, and reporting.
- Ability to communicate findings and approaches clearly to cross-functional teams and stakeholders.
- Understanding of data security policies and procedures.
Preferred Experience
- Experience working with underwriting, pricing, claims, or actuarial teams.
- Familiarity with claims performance and KPI analysis, including loss ratio.
- Experience supporting business stakeholders in an insurance environment.
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