<p><strong>What role you will play in team:</strong> You'll be responsible for analyzing large datasets of life insurance data to identify trends, improve processes, and support business decisions.</p><p><strong>What you will do:</strong> You'll use statistical methods to analyze data, create reports, and provide insights to improve underwriting, claims, and sales processes.</p><p><strong>Key responsibility:</strong><ul><li>Analyzing life insurance data using statistical methods and techniques.</li><li>Developing and maintaining data visualizations and dashboards.</li><li>Identifying trends, patterns, and anomalies in data.</li><li>Creating reports and presentations to communicate findings.</li><li>Collaborating with other departments to implement data-driven solutions.</li><li>Supporting business decision-making through data-driven insights.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in statistics, mathematics, or a related field.</li><li>Experience with statistical software such as R or Python.</li><li>Excellent data analysis and visualization skills.</li><li>Strong communication and presentation skills.</li><li>Understanding of insurance data and processes.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Supportive and collaborative work environment.</li><li>Health insurance, paid time off, and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves analyzing large datasets, creating reports, presenting findings, collaborating with other teams, and implementing data-driven solutions.</p>