Business Analyst- Property & Casualty (P&C) Insurance

We are seeking an experienced Business Analyst to support Assurant''s Customer 360 platform, being developed on the Databricks platform. The ideal candidate will have strong expertise in Property & Casualty (P&C) Insurance, data analytics, SQL, and customer data transformation initiatives. This role will partner with business stakeholders, data engineering teams, insurance carriers, and product owners to deliver a unified customer view and drive data-driven business outcomes.

Key Responsibilities

• Gather, analyze, and document business requirements, user stories, and process flows for Customer 360 initiatives.
• Work closely with Data Engineering and Technology teams on Databricks-based data solutions and customer data integration requirements.
• Analyze change requests and assess business, data, and system impacts.
• Perform complex SQL-based data analysis, validation, reconciliation, and troubleshooting.
• Conduct root cause analysis and resolve data quality, mapping, and process-related issues.
• Collaborate with business stakeholders, insurance carriers, lenders, and servicing teams to support customer and policy data initiatives.
• Support Agile delivery, including backlog refinement, sprint planning, UAT, and release validation.
• Create and maintain business documentation, process flows, release notes, and functional specifications.

• 8+ years of Business Analyst experience.
• Strong expertise in SQL, data analysis, and data validation.
• Experience working on Customer 360, Customer Data Platform (CDP), Master Data Management (MDM), or enterprise data initiatives.
• Deep understanding of Property & Casualty (P&C) Insurance.
• Experience with Lender-Placed Insurance, Insurance Tracking, Mortgage Servicing, or Policy Administration Systems.
• Strong understanding of data mapping, data lineage, and system integrations.
• Experience working in Agile/Scrum environments.
• Excellent analytical, communication, and stakeholder management skills.
• Bachelor''s degree or higher.

• Exposure to Databricks, Data Lakehouse architecture, data warehousing, and cloud-based analytics platforms.
• Knowledge of APIs, ETL processes, and customer data integration frameworks.
• Understanding of US insurance regulations and compliance requirements.
• Experience with Jira, Confluence, Azure DevOps, or similar tools.

Business Analysis | Customer 360 | Databricks | SQL | Data Analysis | P&C Insurance | Lender-Placed Insurance | Insurance Tracking | Mortgage Servicing | Data Mapping | Data Quality | Agile/Scrum | UAT | Stakeholder Management | Customer Data Platforms (CDP) | MDM