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About the role
Data Visualization Engineer
Bangkok, Thailand
Job Description
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Generate business insights using distributed data sets to build reports, dashboards and visualizations using appropriate technologies.
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Manage data related contexts ranging across medium to large sized data sets, structured/unstructured or streaming data, extraction, transformation, curation, modelling for developing reports and dashboards to solve business problems and provide insights.
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Partner with data architects, data engineers and data analysts to design and build strategic Data Analytics & Visualization solutions.
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Work closely with data analysts, SMEs and stakeholders to understand the data, analysis needs, and outcomes; translate this understanding into effective BI, reporting and data visualizations solutions.
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Design and build robust data visualisation solutions, with focus on automation, performance, resilience, scalability and security.
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Ensure the accuracy, consistency, and reliability of data visualizations by validating the data sources, implementing DQ controls and analysing outcomes.
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Document data sources in enterprise data catalogue with metadata, lineage and classification information. Develop and maintain a library of dashboards, reports and related data visualisation assets.
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Develop models and prototypes to provide observations, identify trends and patterns with leadership to assess potential solutions to business requirements.
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Provide training and ongoing support to business users in the use and interpretation of data visualizations.
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Actively participate and contribute to the Data & Analytics Community to create and enhance data visualisation standards and best practices.
Qualifications
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Bachelor’s degree (or equivalent) in Computer Science, Data Science, Information Systems, or a related field.
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5+ years of related practical experience in creating and implementing effective data visualizations, dashboards, and reports, ideally within the insurance industry.
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Proficiency in SQL and data visualization tools like Qliksense, PowerBI, D3.js, etc . Some experience in statistical analysis tools and languages like R or Python is desirable.
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Understanding of data analysis methodologies, techniques and an ability to work with complex, large data sets.
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Hands-on experience with database systems - Cloud technologies (e.g. Azure, AWS), and other database systems - traditional RDBMS (e.g. MS Synapse, SQL Server, Snowflake), and NoSQL databases (e.g. Cosmos, MongoDB, DynamoDB).
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Practical knowledge across data extraction and transformation tools and platforms (e.g. Informatica, DataBricks).
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Proven success in a collaborative, team-oriented environment, preferably in Scaled Agile model.
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Strong Communication Skills, with ability to communicate complex information and data effectively to both technical and non-technical audiences. Familiar with storytelling techniques, using data.
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Job Info
- Job Identification34942
- Job ScheduleFull time
- Regular or TemporaryRegular
- Job CategoryUnderwriting
- Business UnitThailand
- Legal EmployerChubb Samaggi Insurance Public Company Limited
- Posting Date07/15/2026, 07:00 AM
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