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.