<p><strong>What role you will play in team:</strong>You will be part of a team responsible for analyzing large datasets related to life insurance operations to identify trends and insights.</p><p><strong>What you will do:</strong> Use data analysis tools to extract, clean, and transform data, developing reports and visualizations to communicate findings.</p><p><strong>Key responsibility:</strong><ul><li>Extract, transform, and load (ETL) data from various sources.</li><li>Perform data quality checks and data cleansing.</li><li>Conduct statistical analysis and develop predictive models.</li><li>Develop dashboards and reports to visualize data.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with other team members to achieve project goals.</li><li>Maintain data documentation and metadata.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in SQL, R, or Python.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of data warehousing concepts.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative and supportive work environment.</li><li>Opportunities to work on challenging and rewarding projects.</li><li>Medical, dental, and vision insurance, paid time off and retirement benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data cleaning, analysis, model building, report generation and collaboration with team members.</p>