<p><b>What role you will play in team:</b>  You'll be a key contributor to our analytics team, providing data-driven insights to improve our insurance business operations.</p><p><b>What you will do:</b>  You will collect, analyze, and interpret data to identify trends and patterns, helping to make informed business decisions.</p><p><b>Key responsibility:</b><ul><li>Collecting and cleaning large datasets related to insurance operations.</li><li>Performing data analysis using statistical techniques and tools.</li><li>Creating reports and visualizations to communicate findings.</li><li>Identifying trends and patterns in insurance data.</li><li>Developing and maintaining data models.</li><li>Collaborating with other teams to apply data insights to business problems.</li><li>Staying up-to-date on data analysis techniques and technologies.</li><li>Contributing to the development of data-driven decision-making processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, computer science, or a related field.</li><li>Experience with data analysis tools such as SQL, R, Python, or similar.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent data visualization skills.</li><li>Ability to communicate complex information clearly and concisely.</li><li>Understanding of insurance business principles is a plus.</li><li>Experience working with large datasets.</li><li>Strong communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Work in a cutting-edge technology environment.</li><li>Chance to make a real impact on a dynamic business.</li><li>Medical insurance, paid time off, and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b>  Your day involves data cleaning, analysis, and report creation.  You'll be interacting with various stakeholders to discuss findings and recommend data-driven actions.  You'll also be involved in improving data collection methods and models.</p>