Data Analyst

Overview:

Chubb's North America data delivery team provides business insights, data management, and business and data analysis to North America. As a Data Analyst, you will be responsible for conducting a detailed analysis of various data sources to identify trends, patterns, and insights that will support strategic decision-making. Additionally, you will perform quality assurance tasks to ensure data accuracy and integrity across our systems. The ideal candidate will possess strong analytical skills, advanced knowledge of querying languages, and a keen eye for detail.

Role Summary:

• Partner with business teams to analyze requirements and identify data sources needed for analytics/reporting applications with medium level complexity
• Establish open data standards, metadata management policies and data classifications.
• Conduct full data lifecycle analysis to develop new insights for analytics and reporting dashboards
• Partner with business and tech teams to develop testing requirements, procedures and corrective actions to ensure data products meet quality standards
• Provide recommendations to address data quality issues with source systems. 
• Communicate approaches with cross functional teams
• Establish open data standards, metadata management policies and data classifications

Responsibilities:

• 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

 Functional Competencies

• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc
• Experience with data tools for visualizations, analytics and reporting
• Knowledge of testing policies, procedures and the role testing performs within the software development lifecycle
• Strong analytical skills with ability to research, assess and develop observations/findings
• Ability to communicate findings, approaches to cross functional teams and stakeholders.

Technical competencies

• 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)

Education, Knowledge, Experience:

• Background in SQL, databases and/or data science OR
• BS/MS in software engineering, computer science, mathematics
• Experience working with global teams is a must.
• English proficiency is a must.