You will do this by utilizing advanced modeling techniques and optimization algorithms to design and evaluate various omnichannel fulfillment scenarios, considering factors such as, but not limited to fulfillment costs, transportation costs, inventory, transit times, and demand patterns with the goal of delivering an excellent guest experience while balancing operating cost and efficiency. Data Analysis and Insights: Gather data and use appropriate analytical methods, mathematical models, and tools such as, but not limited to SQL, Python, Power BI, and Tableau to develop flexible, scalable fulfillment network models/what-if scenarios to understand, predict and improve network fulfillment, flows and processes.