Amazon Supply Chain forms the backbone of the fastest growing ecommerce business in the world. The sheer growth of the business and the company's mission "to be Earth’s most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year.
The EU S&OP team forecasts inventory flows to and from each country - what Amazon receives from its vendors/sellers, and what it ships from its Fulfillment Centers (FCs). We are also responsible for measuring S&OP performance, and driving continuous improvement in the tools and methods used by S&OP teams to plan local networks, optimizing for reliability, speed, cost and sustainability. We work closely with Supply Chain Optimization Technology (SCOT) teams in North America, who own the systems and the inputs we rely on to plan our networks, and with our internal EU stakeholders in Transportation, Retail and Finance teams.
Within the EU S&OP team, the Analytics team is in charge of developing new models and visualization tools to drive improvements in S&OP accuracy, automation, and plan optimality – partnering with teams across Supply Chain. You will be in charge of creating new automated data pipelines and processes, building the single source of truth for all operations teams relying on S&OP data to make business decisions.
Key job responsibilities
- Designing and implementing complex data models, developing advanced analytics solutions, and creating insightful dashboards and reports.
- Collaborate closely with cross-functional teams, including operations, finance, and product management, to identify opportunities for supply chain optimization.
- Translating business requirements into technical specifications, conducting in-depth data analysis, and communicating findings to both technical and non-technical stakeholders.
- Mentoring junior team members, driving best practices in data engineering and visualization, and contributing to the overall data strategy of the supply chain organization.
BASIC QUALIFICATIONS
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Strong knowledge of Microsoft Excel and SQL and experience writing complex SQL queries
- Ability to handle multiple competing priorities in a fast-paced environment
- Organized, self-starter and a quick learner. Preferably an independent problem solver that can make high quality judgments and decisions quickly with excellent organization skills.
- Detail-oriented with a demonstrated ability to self-motivate and follow-through on projects.
- Excellent communicating skills coupled with ability to comfortably and confidently present to all levels within the company
- Experience of dealing with results, metrics and data management and desire to create and build new processes
PREFERRED QUALIFICATIONS
- Knowledge of QuickSight / R / Python / any tool allowing visualization and automation will help you go further in your job
- Experience with Operations/Supply chain or Program Management is a plus
