Actuarial Data Analyst

Bangkok, Thailand

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

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.

Build aggregations, algorithms, and analytical tools for reporting and KPIs
Implement minor changes to dashboards and visualization applications
Document data sources, metadata, lineage, and classification in the data catalog
Partner with business teams to define data sources for analytics needs
Recommend fixes for data quality issues in source systems

From the employer’s posting

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.

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 data sources in the enterprise data catalog with metadata, lineage, and classification information.

Partner with business teams to analyze requirements and identify data sources needed for analytics and reporting applications.

Provide recommendations to address data quality issues with source systems.

What you’ll bring

All qualifications

Core experience

3–5 years of experience in actuarial analytics or a related analytical background.
Experience with SQL, databases, and/or data science.
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

Bachelor’s degree or higher in Actuarial Science or a related field preferred.
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.

Qualification wording

3–5 years of experience in actuarial analytics or a related analytical background.

Experience with SQL, databases, and/or data science.

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.

Bachelor’s degree or higher in Actuarial Science or a related field preferred.

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.

Education & alternatives

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.

Tools in this posting

Java
Python
SQL

Source

- 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.

- 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.

Posting record

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Status in our records: Live
First seen by us: Aug 9, 2026 · 81 days ago
Recorded sightings: 359
Last seen by us: Oct 29, 2026
Employer says posted: Aug 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.

Complete your application on fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.

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Job description

View original posting ↗

Role Summary

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.

Source details

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Source notes

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Pay

No pay amount identified in the saved description.

Location & working pattern

Bangkok, Thailand

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com ↗Read the full description ↓

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