<p><strong>What role you will play in team:</strong> You'll be part of a team supporting asset managers by providing data-driven insights and analysis.</p><p><strong>What you will do:</strong> Clean, analyze, and interpret large datasets to identify trends and patterns. You'll create reports and visualizations.</p><p><strong>Key responsibility:</strong><ul><li>Collect, clean, and prepare data for analysis.</li><li>Develop and maintain data pipelines.</li><li>Conduct statistical analysis and interpret results.</li><li>Create data visualizations and reports.</li><li>Develop and maintain data models.</li><li>Collaborate with asset managers to provide insights.</li><li>Ensure data quality and integrity.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Data Science, or a related field.</li><li>0-1 year of relevant experience (Preferred).</li><li>Proficiency in SQL, Python, and data visualization tools.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working with large datasets.</li><li>Excellent communication and presentation skills.</li><li>Knowledge of the financial industry (a plus).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>Collaborative work environment.</li><li>Training and development opportunities.</li><li>Work-life balance initiatives.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day includes data cleaning, analysis, report generation, and collaboration with asset managers to deliver insights.</p>