Data Analyst

Role Overview

As a Data Analyst embedded in the account, you will play a critical role in supporting data intake, reporting, and analytics workflows across claims, underwriting, and operational domains. You will collaborate with cross-functional teams to deliver insights that drive business decisions and support AI and automation strategy.

Key Responsibilities

• Analyze structured and unstructured data from claims and underwriting systems, including platforms like Indico Data and Digital Follow
• Support the development and refinement of human-in-the-loop (HITL) data intake processes, including workflow queue management and routing logic
• Build and maintain dashboards and reports using tools such as Power BI, QlikSense, and Cognos Analytics
• Collaborate with engineering and AI teams to support model retraining, performance analytics, and data quality initiatives.
• Participate in requirements gathering and solution design sessions with stakeholders
• Ensure compliance with data governance, audit logging, and RBAC protocols

Required Skills & Experience

• 3+ years of experience in data analysis, preferably in insurance or financial services.
• Proficiency in SQL, Databricks, Excel, and data visualization tools (Power BI, QlikSense, Cognos).
• Familiarity with Azure cloud services and document intelligence platforms.
• Experience working with AI-enhanced data workflows or HITL systems is a plus.
• Strong communication and stakeholder engagement skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications

• Exposure to document ingestion and field extraction technologies.
• Experience with batch analytics and model performance tracking.
• Understanding of insurance business processes, especially claims and underwriting.