<p><b>What role you will play in team:</b> You will be a key member of the data analytics team, focusing on analyzing large datasets to support strategic decision-making within the life insurance business.</p><p><b>What you will do:</b> You will use statistical methods and tools to identify trends, patterns, and insights from various insurance data sources. You will provide actionable insights that help improve business processes and strategies.</p><p><b>Key responsibility:</b><ul><li>Extract, clean, and transform large datasets from various sources.</li><li>Develop and implement statistical models to analyze insurance data.</li><li>Identify trends, patterns, and insights from data analysis.</li><li>Prepare reports and presentations to communicate findings to stakeholders.</li><li>Collaborate with other teams to provide data-driven solutions.</li><li>Stay updated on advancements in data analytics and statistical methods.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, or a related field.</li><li>Proficiency in statistical software (e.g., R, SAS, Python).</li><li>Strong analytical and problem-solving skills.</li><li>Experience with SQL and database management.</li><li>Excellent communication and presentation skills.</li><li>Experience in the insurance industry is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement in a data-driven organization.</li><li>Mentorship and training programs.</li><li>Collaborative and supportive work environment.</li></ul></p><p><b>A Day in the Life:</b>  A day would involve extracting and cleaning large datasets, building and running analytical models, interpreting results, and communicating these insights to help drive better business decisions.</p>