Data Analyst, ReLo

Our Worldwide Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team. In this role, you will ensure employee productivity is maximized and customer engagement is achieved. You will also play a key part in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. An ideal candidate has a background in operational procedures, quality standards, and excellent data dive deep skills. This job will require exceptional communication and interpersonal skills while having the ability to work independently in a high pressure environment and exercise sound judgment. The successful candidate will be proficient at identifying / solving or escalating logistics challenges and possess a bias to get things done and deliver results while functioning as part of a team. Key job responsibilities Job responsibilities - Complete daily and weekly SOX reporting as assigned: Be comfortable with deep-diving and documenting findings, being able to take JDI actions to fix issue, and identifying escalations and creating action items ideas to share with leadership. - Conduct adhoc research to identify improvements being able to efficiency search through large datasets in the data warehouse to identify trends and present these trends to leadership. -

• Develop and maintain regular SQL reporting as requested by leadership using the amazon data warehouse and publishing via email, quicksight, or excel. -
• Work in path, performing associate and leadership tasks that are in an Amazon ReLo warehouse inorder to identify data-driven solutions and automations. -
• Work with quality leadership team to improve standards and identify defects in the operation.