- 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
Skills Required
- Background in SQL, databases, and/or data science
- Bachelor’s or master’s degree in software engineering, computer science, or mathematics
- 3+ years of hands-on experience with a data science background
- Programming skills in Java, Python, and SQL
- Hands-on experience with cloud, in-memory, traditional relational, and NoSQL database systems
- Working knowledge of data and analytics frameworks supporting data lakes, warehouses, marts, and reporting
- Experience with data visualization, analytics, and reporting tools
- Strong analytical skills, including researching, assessing, and developing findings
- Ability to communicate findings and approaches to cross-functional teams and stakeholders
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
