Data Analyst

Requirements

• Minimum bachelor's degree in Statistics, Actuarial Science, Mathematics, Economics, or a related field.
• Minimum 5 years' experience with statistical techniques, preferably in the reinsurance, insurance, or financial services industry.
• Expertise in actuarial techniques and collaboration with actuarial teams on pricing and reserving is preferred.
• Experience with tools such as Tableau, Power BI of similar platforms for data visualization and dashboard creation is preferred.
• A strong team player, able to work independently and multitask, organized and meticulous
• Has strong analytical and quantitative skills and is a pragmatic problem solver.

Responsibilities

Main Responsibilities include but not limited to following:

• Analyze large datasets related to underwriting, claims, premiums, loss ratios, and other key performance indicators (KPIs) in the reinsurance industry.
• Develop and deliver both regular and ad-hoc reports, highlighting trends, risks, and opportunities in the portfolio.
• Assist in the development and implementation of advanced data models for pricing, underwriting, and risk management.
• Collaborate with cross-functional teams to analyze loss data and identify trends or emerging risks to influence pricing and underwriting decisions.
• Analyze claims data to identify trends, cost drivers, and areas for potential claim reduction.
• Integrate data from multiple sources, such as internal system, external market data, and third-party providers, to create comprehensive datasets for analysis.
• Develop and maintain interactive dashboards and visualizations using tools like Power BI, Tableau, or similar platforms to communicate key insights to senior stakeholders.