Lead Analytics

Lead - Analytics

Role Purpose

Lead enterprise-wide portfolio profitability, underwriting optimization, product intelligence, and operational excellence initiatives through data-driven insights. Drive strategic interventions that improve loss ratios, strengthen underwriting governance, enhance product competitiveness, and support business growth across regions.

Key Responsibilities

• Drive portfolio profitability and loss ratio management through analytics-led interventions and performance governance.
• Lead product intelligence initiatives including market research, competitor benchmarking, disease trend analysis, and portfolio performance reviews.
• Partner with Underwriting, Claims, Sales, Product, and Operations teams to identify business opportunities and mitigate portfolio risks.
• Develop advanced analytics models, MIS frameworks, and automated reporting solutions to support executive decision-making.
• Design and manage Power BI dashboards for real-time monitoring of business KPIs.
• Analyze claims, underwriting, and sales data to identify trends, risk concentrations, and profitability improvement opportunities.
• Support product enhancement initiatives through customer, market, and portfolio insights.
• Establish governance mechanisms for performance tracking and strategic action planning across branches and regions.
• Present actionable insights and strategic recommendations to senior leadership and business stakeholders.
• Lead cross-functional projects focused on operational efficiency, process optimization, and digital transformation.

Key Requirements

• 7-12 years of experience in Health, General, or Life Insurance.
• Strong expertise in portfolio management, loss ratio optimization, underwriting analytics, and product strategy.
• Advanced proficiency in Power BI, data analytics, MIS automation, and dashboard development.
• Strong understanding of insurance operations, claims management, underwriting, and profitability drivers.
• Demonstrated experience working with senior stakeholders and leading cross-functional initiatives.
• Excellent analytical, problem-solving, and presentation skills.

Preferred Qualifications

• MBA or equivalent postgraduate qualification.
• Certification in Data Analytics, Business Intelligence, or Digital Transformation.
• Exposure to large-scale insurance data environments and enterprise reporting frameworks.