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Inventory Planner, Global Transportation Services
il y a 1 mois
A Bachelors degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or another technical field, Or equivalent.
- Relevant experience in analysing large data sets, data quality, and data warehousing to identify improvement opportunities
- Relevant experience creating dashboards using Excel, SQL, and visualisation tools
As an Inventory Planner at Amazon, you’ll be an expert in deep diving into our business data and presenting it in a clear, useful way. You’ll use it to help teams across our logistics function make lasting improvements and remain ambitious and inventive. This role will give you plenty of opportunities to learn, grow and use your expertise to drive efficiency across Amazon.
Key job responsibilities
Analyse data around KPIs to generate forward looking plans to present to senior stakeholders in the Operations business
Build visualisation tools and dashboards to analyse and create reports for your team to drive action around KPIs
Look at the root cause of customer feedback and help your team make data-backed plans on how to avoid related issues
Create or improve internal dashboards that give your colleagues better visibility of task-related data
A day in the life
Every day is a little different in this role. Using your data analysis skills, you’ll explore and translate data into simple, visual forms to help your team and the wider business cut costs and address customer concerns.
As an Inventory Planner, you’ll use your business acumen and analytic skills to help your team achieve their objectives. You’ll use data to illustrate problems and share your opinion and ideas to help find solutions. The pace of change is quick here, and this means that you keep learning every day in an environment where curiosity is always welcomed. Your opinion always counts and there’s no such thing as a silly question at Amazon.
About the team
Our team works on maximizing our customers experience by creating automated tools that optimize and facilitate the management of our transportation network.
- Advanced or master’s degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or another technical field
- Experience in working with Operational, Supply Chain or Logistics teams
