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Data Analyst

Chubb • Property & Casualty Insurance • Reinsurance • Bachelor's Degree • Python • Java • SQL • 1 month ago

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Salary

≈ $9.5k – $23k per year (Estimated)

Location

In office (Bangkok)

Seniority

Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 1, 2026. Chubb scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Chubb

Chubb is the largest publicly traded property and casualty insurer in the world, formed in 2016 when ACE acquired the older Chubb Corporation and took its name. It writes commercial property and casualty, specialty lines, high net worth personal insurance, accident and health cover and reinsurance across more than fifty countries, and it is known in the industry for underwriting discipline and for walking away from business it considers underpriced. Headquartered in Zurich with major operations in New York and Philadelphia, it is listed on the New York Stock Exchange.

chubb.com • HQ: Zurich, Switzerland • Reinsurance • Property & Casualty Insurance • 5000+ employees • Est. 1882

Tech stack of Chubb

Document data sources in enterprise data catalog with metadata, lineage and classification information
Develop aggregations and algorithms needed for reporting and analytics with low level complexity
Implement minor changes to existing data visualization applications, reporting dashboards
Document modifications to reporting applications based on modifications applied.
Comprehend and adhere to all data security policies and procedures
Create data tools for analytics and data scientist team members
Build analytical tools to provide actionable insights into key business KPIs, etc
Work with data engineers to optimize pipelines for scalability and data delivery

Background in SQL, databases and/or data science OR
BS/MS in software engineering, computer science, mathematics
3+ years' hands-on experience with a data science background
Some programming skills in Java, Python and SQL
Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)
Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc
Experience with data tools for visualizations, analytics and reporting
Strong analytical skills with ability to research, assess and develop observations/findings
Ability to communicate findings, approaches to cross functional teams and stakeholders

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