Operations Analyst
Indexed description
At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.
All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.
Position Description: Underwriting Operations Analyst
Reports To: Head of North American Wholesale Operations
Location: Princeton, NJ (Hybrid)
Position Summary
The Underwriting Operations Analyst is a Python & Intelligent Automation Developer – Underwriting Operations is responsible for designing and deploying end-to-end automation solutions across underwriting and operational workflows. This role combines Python development with Microsoft Power Automate and Microsoft 365 Copilot to orchestrate intelligent, event-driven processes that reduce manual effort, enhance data accuracy, and accelerate underwriting execution.
Key Responsibilities
End-to-End Workflow Automation
- Design and build automation solutions using Python and Power Automate.
- Develop event-triggered workflows integrating multiple systems.
- Replace manual keystroke-driven activities with programmatic processes.
- Design and implement Copilot-driven agents to support underwriting processes.
- Integrate Python, Power Automate, and Copilot to create automated workflows.
- Trigger AI-driven workflows programmatically.
- Identify and automate manual tasks across underwriting lifecycle.
- Support submission processing, validation, and policy lifecycle activities.
- Build data pipelines to extract, transform, and load underwriting data.
- Ensure data integrity across systems.
- Develop automated QA frameworks using Copilot, Power Automate and Python.
- Validate policy and submission data accuracy.
- Identify inefficiencies and implement scalable automation solutions.
- Ensure compliance with internal audit and data standards.
- Maintain documentation and scalable design practices.
- Bachelor’s degree in Computer Science, Data Science, or related field.
- Experience with Python, Power Automate and automation tools.
- Experience with Microsoft 365 Copilot and AI-driven automation.
- Insurance underwriting or operations experience.
- Reduction in manual processing time
- Improved data accuracy
- Increased automation adoption
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