Business Analyst

Convr is an AI underwriting, data, and intelligent document automation workbench built for commercial P&C insurers. The Data Business Analyst will enable high-quality, scalable insurance data capabilities across the platform, acting as the bridge between customer needs and technical teams while ensuring data integrity and quality for analytics and underwriting workflows.

Responsibilities:

• Serve as the primary bridge between customer business needs and Convr’s technical teams
• Elicit, document, and translate underwriting, data workflows and requirements into clear business and technical specifications for the Convr AI platform
• Assess data quality, coverage, reliability, and business relevance of new sources
• Analyze and map insurance data from data sources into canonical schema
• Partner with product and engineering teams to evolve schema designs as new use cases emerge. Ensure requirements align to customer pain points and desired business outcomes
• Partner closely with Engineering teams to configure and activate the Convr Underwriting Workbench based on customer-specific integration and underwriting needs
• Validate that underwriting rules, workflows, and AI-driven decisioning are accurately implemented and fully functional within the platform
• Work closely with product, professional services and analytics teams to translate business requirements into data requirements
• Support AI/ML, analytics, and reporting initiatives by ensuring data is complete, accurate, and well-modeled
• Create clear documentation, diagrams, and artifacts for both technical and non-technical stakeholders

Requirements:

• Bachelor's Degree required (preferably in Business Administration, Computer Science, Information Systems, or a related field)
• Underwriting Domain Expertise: 2 years of experience in the Commercial P&C Insurance industry. You should understand the underwriting lifecycle (submission to quote) and common pain points for underwriting teams
• Experience working with data pipelines, ETL/ELT processes, and modern data platforms
• Proven ability to analyze large, semi-structured or structured datasets
• Technical Business Analysis: Proven track record of eliciting complex business requirements and translating them into technical specifications
• Exceptional communication and documentation skills
• Agile/Scrum experience working with product and engineering teams
• Advanced proficiency in Excel (for data mapping and tracking) and experience with project management tools (e.g., Jira, Asana, or Monday.com)
• Start-up/Growth Mindset: Ability to thrive in a fast-paced environment where processes are being built and refined in real-time