Supply Chain Data Analyst, Supply Chain Team

Description If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain. Key job responsibilities Support the intra-day management of transportation capacities. This will mean you will be monitoring multiple dashboards and receiving multiple change requests from partner teams within a day. You will be expected to deploy the requested changes within the set SLA with high degree of accuracy. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed. You are expected to be flexible to work in different shift structures and your schedule can include Night Shifts and Weekends. A day in the life Collect and analyze data Support business growth in constrained environment with innovative and automated solutions Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation. Rollout best practices from other geographies/ companies to minimize end to end supply chain losses Utilize problem-solving and communication skills to influence business, operations and technical audiences Bring data driven solutions using analytical skills to contribute operations and growth in the organization Basic Qualifications • Bachelor's degree • Experience managing large data sets and utilizing to drive performance and process improvements • Experience in Excel (macros, index, conditional list, arrays, pivots, lookups), or experience applying key financial performance indicators (KPIs) to analyses Preferred Qualifications • Experience within e-commerce or Retail fields • Experience creating and delivering written and oral communications for technical and non-technical audiences • Experience with SQL and Python scripting • Experience with AI/ML technologies Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Q-Express Documents Transport Job ID: A10454742 Show more Show less

Bachelor's degree. Experience managing large data sets and utilizing to drive performance and process improvements. Experience in Excel (macros, index, conditional list, arrays, pivots, lookups), or experience applying key financial performance indicators (KPIs) to analyses.

Support the intra-day management of transportation capacities by monitoring dashboards and handling multiple change requests from partner teams within a day, deploying requested changes within the set SLA with high accuracy. Be flexible to work night shifts and weekends. Collect and analyze data. Support business growth in constrained environments with innovative and automated solutions. Scale up processes quickly by identifying and implementing tools/automation. Roll out best practices from other geographies/companies to minimize end-to-end supply chain losses. Use problem-solving and communication skills to influence business, operations and technical audiences. Bring data-driven solutions using analytical skills to contribute to operations and growth in the organization.