Non Life Insurance Business Analyst (Retail & Commercial)

Overview

Role: Non‑Life Insurance Business Analyst (Retail & Commercial)

Experience: 6+ years in P&C insurance (retail & commercial)Employment Type: Full‑time

Location: Pune

Domain & Commercial Product Expertise

Map and optimize non‑life processes (underwriting, issuance, claims, endorsements, renewals).
Configure commercial lines (SME, fleet, property) and retail products (motor, home, travel).
Implement embedded insurance across e‑commerce, mobility, and broker networks.

Embedded & Digital Distribution

Design embedded insurance workflows for banks, fintech, telematics, and mobility platforms.
Create customer-facing quoting and comparison flows for digital channels.

Configuration

Configure product lifecycle using low/no-code tools: product library, rules engine, API modules.
Leverage InsureMO’s P&C microservices and APIs for policy, claims, telematics integration.

AI-driven Automation & Innovation

Integrate AI/ML (OCR, NLP) for document ingestion (loss runs, schedules, claims notes).
Deploy automated underwriting and claims triage to enhance speed and accuracy.

Quality Assurance & Collaboration

Create and execute functional, regression, UAT scenarios for product and AI workflows.
Validate system performance in embedded and high-volume environments.
Lead Agile ceremonies: sprint planning, backlog grooming, daily stand-ups, demos, retrospectives.
Collaborate on product backlogs, prioritize epics and user stories, and manage acceptance criteria.

Wireframing, Prototyping & Documentation

Develop wireframes, mock-ups, and prototypes with tools such as Balsamiq, Draw.io, Axure, or Figma.
Produce comprehensive BRDs/FRDs, functional specs, process flows, and training materials.

Knowledge Transfer & Enablement

Conduct workshops and prepare user/admin guides to ensure smooth adoption and operational readiness.

6+ years in non‑life insurance (retail & commercial).
2+ years implementing insurance middleware (InsureMO or equivalent).
Proficient in embedded insurance and digital distribution strategies.
Demonstrated experience using AI tools (OCR, NLP, ML models) in insurance workflows.
Strong knowledge of Agile methodology with hands-on participation and backlog management.
Certified BA credentials (e.g., CBAP, CCBA, ECBA, Agile certification) required.
Skilled in wireframing, mock-ups, and prototyping using standard BA/UI tools.
Excellent analytical, technical, and communication skill