Business Intelligence Engineer, AMXL (Amazon Extra Large) Trans Analytics - Amazon

Description Do you pioneer? Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the Amazon Extra Large (AMXL) supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. AMXL, formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA and EU. We are currently in the process of building out a network that is poised for big growth in the coming years. The Business intelligence engineer will support the rapid growth of this initiative by developing business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. In this role, the candidate will be focused on highly analytical projects driving results within the supply chain operations. Key job responsibilities - Working backwards from success criteria of key strategic initiatives and create KPIs to track overall status of the program - Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. - Creating robust and scalable data infrastructure to retrieve and analyze data - Monitoring existent dashboards, metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities. - Supporting cross-functional teams on the day-to-day execution of the existent program implementation. - Driving small to medium operational enhancement projects. A day in the life - Engage with customers to define success criteria and work backwards from that to create KPIs - Explore innovative and efficient solutions to implement solutions for the KPIs - Build intuitive dashboards that makes decision making easy - Share knowledge with peers and learn from their experience About the team A unique feature of AMXL is it's end-end business starting from procurement to customer returns and comparatively high value of products in our catalogue. This makes customer service even more important and time sensitive as we promise deliveries within specific SLAs. This role will support the team that proactively reaches out to end customers to inform them and reschedule their delivery in case deviations to happy path are observed. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Nashville, TN, USA | Tempe, AZ, USA Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.