<p><b>What role you will play in team:</b> You'll be a vital member of our analytics team, helping to analyze large datasets to improve insurance processes, detect fraud, and provide valuable insights.</p><p><b>What you will do:</b> You will extract, clean, and analyze data from various sources. You will build predictive models and create dashboards to visualize key findings.</p><p><b>Key responsibility:</b><ul><li>Extract, clean, and transform data from various sources.</li><li>Develop and maintain data pipelines.</li><li>Analyze data to identify trends and patterns.</li><li>Build predictive models for risk assessment and fraud detection.</li><li>Create dashboards and reports to visualize data insights.</li><li>Collaborate with other teams to communicate findings and recommendations.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, data science, or a related field.</li><li>Proficiency in SQL and at least one programming language (e.g., Python, R).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Strong analytical and problem-solving skills.</li><li>Knowledge of statistical modeling techniques.</li><li>Experience in the insurance industry (preferred).</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 dynamic and challenging environment.</li><li>Exposure to cutting-edge technologies.</li><li>Potential for remote work options.</li></ul></p><p><b>A Day in the Life:</b> A day will involve data manipulation, model building, dashboard creation, and collaboration with various teams. Your work will directly impact business decisions.</p>