Data Analyst

Chubb • Bachelor's Degree • Java • Python • SQL • 11 hours ago
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Location
In office (Bangkok)
Seniority
Middle · 3+ years exp
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Chubb

Wij bieden in de Benelux een scala aan verzekeringsproducten voor particulieren, families en bedrijven. Wij hebben onder andere verzekeringsproducten op het gebied van Ongevallen & Welzijn, Financial Lines, Transport, Brand- en Bedrijfsschade, Aansprakelijkheid, Reizen en Overlijdensrisico.
chubb.com • London • Dublin • Philadelphia • Taipei • Bengaluru • 1001-5000 employees
  • 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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