<p><b>What role you will play in team:</b>  Analyze large datasets to identify trends and insights, supporting crucial business decisions within the finance team.</p><p><b>What you will do:</b>  You will develop and maintain data pipelines, perform statistical analysis, and create visualizations to communicate findings effectively.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain data pipelines using tools like SQL, Python, and ETL processes.</li><li>Perform statistical analysis and data mining to identify patterns and insights.</li><li>Create data visualizations and reports to communicate findings effectively to stakeholders.</li><li>Collaborate with other data analysts and business stakeholders to understand their needs and provide solutions.</li><li>Ensure data quality and accuracy through rigorous validation and testing.</li><li>Stay up-to-date on the latest data analysis techniques and technologies.</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>Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with large datasets and data warehousing is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth within a global financial institution.</li><li>Exposure to cutting-edge data analysis techniques.</li><li>A collaborative and supportive work environment.</li></ul></p><p><b>A Day in the Life:</b>  A day may involve data cleaning, running queries, building dashboards, presenting findings to stakeholders, and collaborating with team members on projects.</p>