<p><strong>What role you will play in team:</strong>  You will analyze large datasets related to life insurance claims, identifying trends and patterns to improve efficiency and reduce risk.</p><p><strong>What you will do:</strong> Cleanse and transform data, build predictive models, generate reports, and present findings to stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Collecting, cleaning, and transforming large datasets related to life insurance claims.</li><li>Developing and maintaining data models and visualizations.</li><li>Performing statistical analysis to identify trends and patterns.</li><li>Building predictive models to assess risk and improve efficiency.</li><li>Generating reports and presenting findings to stakeholders.</li><li>Collaborating with other teams to implement data-driven solutions.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, or a related field.</li><li>Minimum 2-3 years of experience in data analysis.</li><li>Proficiency in SQL, Python, and data visualization tools.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with large datasets is preferred.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and training.</li><li>Collaborative and supportive work environment.</li><li>Medical Insurance</li><li>Paid leaves</li></ul></p><p><strong>A Day in the Life:</strong> Data cleaning, analysis, modeling, report generation, and stakeholder communication.</p>