Data Analyst
Chubb Open · verified Oct 24, 2026 Bangkok Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Chubb. Bangkok · full-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationBangkok
EmploymentFull-time
PostedSep 1, 2026 · 7w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Catalog enterprise data sources with details on their origins, movement and classification
- Create straightforward calculations and algorithms for analytics and reporting
- Make small updates to dashboards and visualization apps, then record what changed
- Build KPI analysis tools and other resources for data analysts and data scientists
- Work with data engineers to make pipelines more scalable and improve data delivery
What you bring
- At least three years of hands-on data science experience
- SQL and database knowledge, or a degree in software engineering, computer science or mathematics
- Programming ability in Java, Python and SQL, plus experience with database systems
- Experience using visualization, analytics and reporting tools, with knowledge of data lakes, warehouses or marts
Who this fits
This role suits a mid-level analyst who can investigate data, draw conclusions and explain findings to stakeholders across teams. You’ll also need to follow data security policies and procedures.
From the employer
- 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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