<p><b>What role you will play in team:</b> You'll be a key member of our analytics team, providing data-driven insights to improve our life insurance operations and drive strategic decision-making.</p><p><b>What you will do:</b> Collect, clean, and analyze data, create dashboards, identify trends, develop predictive models, present findings to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Collect and clean large datasets from various sources related to life insurance operations.</li><li>Analyze data to identify trends, patterns, and anomalies.</li><li>Develop and maintain data dashboards and visualizations to track key performance indicators.</li><li>Develop predictive models to forecast future outcomes and inform strategic decisions.</li><li>Prepare reports and presentations to communicate findings to stakeholders.</li><li>Collaborate with other data analysts and business users to address business needs.</li><li>Stay up-to-date on latest data analytics techniques and technologies.</li><li>Ensure data quality and integrity.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, data science, or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in data analysis tools (e.g., SQL, Python, R).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent communication and presentation skills.</li><li>Ability to work independently and as part of a team.</li><li>Experience with large datasets and data warehousing (Preferred).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>A dynamic and collaborative work environment.</li><li>Challenging work that utilizes your analytical abilities.</li><li>Health Insurance, Paid Time Off, and other standard benefits.</li></ul></p><p><b>A Day in the Life:</b> Your day may involve collecting, cleaning, and analyzing data, creating dashboards, building predictive models, preparing reports, and presenting findings to stakeholders.  You'll be instrumental in using data to improve our decision-making.</p>