<p><b>What role you will play in team:</b> You will be a key member of the analytics team, providing insights into the performance and profitability of life insurance products.</p><p><b>What you will do:</b> Analyze large datasets, develop predictive models, identify trends, and provide data-driven recommendations to improve business decisions.</p><p><b>Key responsibility:</b><ul><li>Collecting, cleaning, and analyzing large datasets of life insurance data</li><li>Developing and implementing predictive models</li><li>Identifying key performance indicators (KPIs) and trends</li><li>Presenting findings and recommendations to management</li><li>Collaborating with other team members to solve business problems</li><li>Staying up-to-date on data analysis techniques and technologies</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, computer science, or a related field</li><li>Strong analytical and problem-solving skills</li><li>Proficiency in statistical software (e.g., R, Python)</li><li>Experience with database management systems (e.g., SQL)</li><li>Excellent communication and visualization skills</li><li>Knowledge of the life insurance industry (Preferred)</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional development and career advancement</li><li>Collaborative and innovative work environment</li><li>Medical benefits</li><li>Performance based bonuses</li></ul></p><p><b>A Day in the Life:</b>  Your day will be spent analyzing data, building models, and communicating your findings through reports and presentations to support strategic business decisions.</p>