<p><b>What role you will play in team:</b>Analyze large datasets to identify trends, patterns, and insights related to insurance claims, customer behavior, and business performance.  Support business decision-making through data-driven recommendations.</p><p><b>What you will do:</b>Collect, clean, and analyze insurance data using statistical techniques and tools, develop and maintain reports and dashboards, and present findings to stakeholders. </p><p><b>Key responsibility:</b><ul><li>Collect, clean, and transform large datasets from various sources.</li><li>Analyze insurance data to identify trends and patterns.</li><li>Develop and maintain reports and dashboards to visualize data insights.</li><li>Use statistical modeling techniques for predictive analysis.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with other data analysts and business users.</li><li>Develop and maintain data pipelines for efficient data processing.</li><li>Contribute to improving data quality and accuracy.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in statistics, mathematics, or a related field.</li><li>Experience with data analysis tools (e.g., SQL, Python, R).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Understanding of insurance industry is an advantage.</li><li>Knowledge of statistical modeling techniques.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Opportunities to work on challenging projects.</li><li>Health insurance and other benefits.</li></ul></p><p><b>A Day in the Life:</b> Your day will be spent cleaning, analyzing data using SQL and Python, visualizing findings with dashboards, and communicating insights to help the business make informed decisions.</p>