Data Analyst with strong Life Insurance domain expertise to drive analytics initiatives across sales, marketing, distribution, underwriting, and customer lifecycle management.

Domain & Business Analytics:

• Apply deep Life Insurance domain knowledge (e.g., policy lifecycle, underwriting, claims, renewals, persistency, lapse, riders, channels, agents/brokers, bancassurance).

• Design and deliver regionally relevant Life Insurance use cases across multiple markets (e.g., APAC).

• Generate insights across customers, products, channels, agents, and geographies using large, complex datasets.

• Support analytics initiatives across new business, renewal, cross-sell, upsell, persistency, and claims performance.

Data Analysis & Visualization:

• Build, enhance, and maintain dashboards and reports to support cross-channel sales and marketing engagement.

• Perform in-depth performance analysis and present insights in leadership and company-wide forums.

• Apply predictive analytics to forecast sales, lapse risk, agent performance, and customer behavior.

• Develop segmentation models (customers, agents, products) to support targeted business strategies.

Core Competencies:

• Issue Resolution: Proactively identify and resolve data, reporting, and platform issues across multiple systems.

• Integration & Data Quality: Work with internal teams and vendors to resolve data integration, lineage, and quality challenges.

• Stakeholder Collaboration: Translate business requirements into analytics solutions aligned with Life Insurance KPIs.

• Continuous Improvement: Identify opportunities to improve analytics processes, data models, and tools.

• User Enablement: Deliver training and knowledge-sharing sessions to business users and analytics teams.