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 No SQL databases (e.g. Cassandra, Mongo DB, Dynamo DB)
Education, Knowledge, Experience:
Background in SQL, databases and/or data science OR
BS/MS in software engineering, computer science, mathematics