Senior Business Data Analyst - Underwriting

Role: Business Data Analyst -Underwriting

Domain: P&C Insurance Needed

Overall Experience: 12+ Years

Location: Remote-USA

Type: Full Time Role (NO C2C/C2H/1099/W2)

Work Authorization: This role is not eligible for company sponsorship now or in future

Role and Responsibilities Overview:

• Work with the data strategy team of a large insurer to support them in data, analytics and data structuring assignments
• Work with underwriting systems as a BA
• Work with underwriting teams to understand business rules, risk assessment criteria, and compliance requirements and translate these into functional and non-functional requirements
• Document current underwriting workflows and identify inefficiencies.
• Recommend process improvements aligned with system capabilities.
• Collaborate with developers and QA teams to ensure underwriting logic is correctly implemented.
• Create test cases and validate system outputs against underwriting guidelines.
• Act as a liaison between underwriters, IT teams, and data teams.
• Ensure alignment on priorities, timelines, and deliverables.
• Ensure underwriting systems adhere to regulatory standards (e.g., insurance regulations, data privacy laws).
• Validate that data flowing into underwriting systems is accurate and complete.
• Work with data teams to ensure proper integration with downstream systems (e.g., policy admin, analytics).
• Work on re-structuring with the data strategy team

Candidate Profile:

• Bachelor’s degree in Business Intelligence, Business Analytics, or Data Engineering.
• Experience as a Business Analyst with experience in the Insurance industry
• Deep understanding of insurance underwriting processes, risk assessment, and regulatory compliance.
• Familiarity with underwriting systems (e.g., Guidewire PolicyCenter, Duck Creek, or custom platforms).
• Exceptional written and verbal communication skills with the ability to convey complex information clearly.
• Demonstrated ability to manage multiple priorities, ensuring effective time management and organizational efficiency.
• Advanced problem-solving capabilities with a proactive approach to challenges.
• Comfortable working in a fast-paced, dynamic environment and adept at handling evolving requirements.
• Practical experience with at least one BI reporting tool such as Power BI, Tableau, or similar.
• Strong troubleshooting skills with a commitment to taking ownership of issues and delivering resolutions.
• Ability to collaborate effectively across global teams, demonstrating cultural awareness and adaptability.
• Highly self-motivated, capable of working independently as well as within cross-functional teams.