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.

 

Responsibilities:

Perform complex data analysis by querying databases, consolidating information, and conducting statistical analyses to extract meaningful insights. Collaborate with stakeholders to understand business needs and identify opportunities for data-driven improvements. Develop, implement, and maintain QA processes and tools to ensure accurate and reliable data across all systems. Conduct thorough data validation and verification to identify discrepancies, resolve issues, and maintain data integrity. Create and maintain documentation for data analysis procedures, QA processes, and related reports. Collaborate with the data engineering team to optimize database design, structure, and functionality for efficient data retrieval and analysis. Present findings and recommendations to both technical and non-technical stakeholders clearly and concisely.

 

Qualifications

Proven experience as a Data Analyst or similar role, including experience in conducting complex data analysis, statistical modeling, and data visualization. Proficient in querying languages (e.g., SQL, Python) with the ability to retrieve data from databases efficiently. Experience in QA tasks, data validation, and data integrity management. Strong attention to detail and the ability to identify and resolve data quality issues. Excellent problem-solving and critical-thinking skills to interpret complex data sets and identify insights and trends. Strong communication and presentation skills to convey complex analytical findings to technical and non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment. Familiarity with ETL processes and data warehousing concepts. Familiarity with tools like Qlik, Power BI, or similar data visualization platforms.