Underwriting Practices Data Analyst

The Underwriting Practices Data Analyst, working under moderate supervision, provides reporting and responsible for performing analyses, developing dashboards, monitoring, and providing recommendations in support of the automated and transactional underwriting and pricing decisions in the commercial lines (CL) segment. The role identifies potential data sources, selects appropriate data based on business requirement, extracts and prepares data and develops knowledge and experience of appropriate tools, technologies and techniques to perform entry or mid-level analysis.  The role also works closely with and supports the Automated Underwriting Specialist ensuring the achievement of target financial metrics and pass through rates that drive profitability, growth, and operational efficiency.

• Provides reporting and analysis on assigned low-complexity projects, identifying potential data sources and selecting appropriate data based on business requirements. Extracts and prepares data to ensure the fullest possible use of high-quality data.
• Assists the Automated Underwriting Specialist through analysis in ensuring the quality and integrity of automated and transactional underwriting and pricing decisions in the commercial lines segment through the development and optimization of underwriting artificial intelligence and learning models, and the enablement and governance of 3rd party data integrations via multi-channeled underwriting platforms.
• Develops knowledge and experience of relevant tools, technologies and techniques to perform basic or intermediate level analysis. 
• Uses quantitative and qualitative analysis to conduct primary and secondary research and draws conclusions and advises recipients on potential impacts, alternatives and makes recommendations. 
• Develops critical thinking skills used to understand data, business concepts and analytical concepts. Covers the use of data as needed to effectively communicate between core analytical concepts and business concepts and content. 
• Interprets data and presents findings in a clear and concise manner through reports, visualizations, and presentations.
• Collaborates with cross-functional teams to understand business requirements and provide analytical support for decision-making processes. Stays up to date with industry trends and advancements in data analysis techniques, tools, and technologies.
• Analyzes and identifies data quality issues or cleanup opportunities to improve data quality anomalies and facilitate solutions between technical, business and other stakeholders.   
• Provides thoughtful and well-researched insights into business and market conditions, trends and opportunities, as well as consumer, agency, client and employee information. Creates and maintains accurate procedural documentation and reference materials. 
• Collaborates with partners to generate the necessary data and maintains awareness of internal and external business activities, trends, best practices and tools. 
• Develops relationships and promotes collaboration with key partners of the organization and identifies opportunities for process improvement and supports process improvement efforts.

• 2 -4 years of overall experience in Data Science and Analytics or a related field. 
• Bachelor's degree in a related field such as Computer Science, Information Technology, Mathematics, Statistics, or Business Administration.