<p><strong>What role you will play in team:</strong> You will be part of a dynamic team responsible for analyzing large datasets to improve FedEx's operational efficiency and customer experience.  You will collaborate with cross-functional teams to identify key insights and drive data-driven decision making.</p><p><strong>What you will do:</strong>  You will collect, clean, and analyze data from various sources, build and maintain data pipelines, and create visualizations and reports to communicate findings to stakeholders. Your work will directly impact FedEx's operational performance.</p><p><strong>Key responsibility:</strong><ul><li>Develop and maintain data pipelines to collect and process large datasets.</li><li>Perform data cleaning, transformation, and validation.</li><li>Conduct exploratory data analysis to identify trends and patterns.</li><li>Develop data visualizations and reports to communicate insights.</li><li>Collaborate with cross-functional teams to solve business problems.</li><li>Implement data-driven solutions to improve operational efficiency.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science or related field.</li><li>Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).</li><li>Experience working with large datasets and data warehousing techniques.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and supportive work environment.</li><li>Health insurance, paid time off, and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with colleagues, working on data analysis projects, creating reports, and attending meetings. You'll be constantly challenged to find innovative solutions to complex problems.</p>