Business Analyst

Convr • Chicago, IL

5d • Remote

About The Position

Convr is an AI underwriting, data, and intelligent document automation workbench built for commercial P&C insurers. We help carriers, MGAs, and brokers accelerate premium growth, improve risk insights, and drive operational efficiency. Founded in 2016, Convr transforms outdated, manual processes into structured, decision-ready workflows. Our modular platform manages underwriting from submission through quote with a purpose-built AI decisioning context engine – grounded in a commercial insurance ontology – ensuring complete data and smarter decisions, faster, while enabling a frictionless experience and superior performance. As we scale, we’re building a team shaping the future of commercial underwriting. Join us in modernizing commercial insurance with modern AI.

As a Data Business Analyst, you will play a critical role in enabling high-quality, scalable insurance data capabilities across our platform. This is a high-impact role that sits at the intersection of insurance operations, data engineering, product, and analytics, ensuring that complex insurance data is accurately modeled, trusted, and ready for downstream use. You will act as the primary translator mapping data into a normalized structure that supports analytics, AI, and underwriting workflows. In parallel, you will proactively evaluate new insurance-specific data sources and work with internal teams to onboard and operationalize them. In addition to data modeling responsibilities, you will play a key role in data quality and reliability, identifying anomalies, gaps, and inconsistencies across transformation processes. You will partner closely with data engineering and product teams to diagnose root causes, improve validation frameworks, and ensure data integrity at scale. Success in this role requires a strong understanding of insurance data and domain concepts, the ability to analyze complex datasets end-to-end, and excellent cross-functional collaboration skills to drive execution across business and technical teams.

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.
• 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).
• Ability to thrive in a fast-paced environment where processes are being built and refined in real-time.

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.

Benefits

• Remote work opportunities
• Flexible Paid Time Off
• Company Paid Holidays
• Insurance Coverage (medical, dental, vision, short-term & long-term disability, life insurance, and accident coverage)
• 401K
• Paid Parental Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level