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Data Visualization Engineer

Chubb External · Bangkok, Thailand

About Chubb External

76 open jobs

Weak hiring record · median 159 days open

4444

Hiring signal

Stale

Open 109 days · How we score

All reasons
  • Open 109 days
  • 97% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Data Visualization Engineer at Chubb External. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Generate business insights using distributed data sets to build reports, dashboards and visualizations using appropriate technologies.
  • 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.
  • Partner with data architects, data engineers and data analysts to design and build strategic Data Analytics & Visualization solutions.
  • 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.
  • Design and build robust data visualisation solutions, with focus on automation, performance, resilience, scalability and security.
  • Ensure the accuracy, consistency, and reliability of data visualizations by validating the data sources, implementing DQ controls and analysing outcomes.
  • 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.
  • Develop models and prototypes to provide observations, identify trends and patterns with leadership to assess potential solutions to business requirements.
  • Provide training and ongoing support to business users in the use and interpretation of data visualizations.
  • Actively participate and contribute to the Data & Analytics Community to create and enhance data visualisation standards and best practices.
  • Bachelor’s degree (or equivalent) in Computer Science, Data Science, Information Systems, or a related field.
  • 5+ years of related practical experience in creating and implementing effective data visualizations, dashboards, and reports, ideally within the insurance industry.
  • 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.
  • Understanding of data analysis methodologies, techniques and an ability to work with complex, large data sets.
  • 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).
  • Practical knowledge across data extraction and transformation tools and platforms (e.g. Informatica, DataBricks).
  • Proven success in a collaborative, team-oriented environment, preferably in Scaled Agile model.
  • 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.

Skills

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