<p><b>What role you will play in team:</b> You will be an integral part of the data analytics team supporting various departments by utilizing your expertise in data analysis techniques.</p><p><b>What you will do:</b>  You will collect, clean, analyze, and interpret insurance-related data to provide insights that improve business decisions.</p><p><b>Key responsibility:</b><ul><li>Collect and cleanse large datasets of insurance data.</li><li>Develop and maintain data pipelines and ETL processes.</li><li>Conduct statistical analysis to identify trends and patterns.</li><li>Create data visualizations and reports to communicate findings.</li><li>Collaborate with other departments to provide data-driven insights.</li><li>Develop and maintain data models and documentation.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, or a related field.</li><li>1-2 years of experience in data analysis (preferred).</li><li>Proficiency in SQL, Python, R, or other data analysis tools.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Understanding of insurance concepts beneficial.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement and training.</li><li>A dynamic and collaborative work environment.</li><li>Paid time off, health insurance.</li><li>Access to advanced tools and technologies.</li></ul></p><p><b>A Day in the Life:</b> A typical day will be focused on data manipulation and analysis using various tools and techniques.  You'll spend time collecting, cleaning, and preparing data, running analyses, and communicating your findings to stakeholders through clear and concise reports and visualizations.</p>