DESCRIPTION Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology organization is for you.
Watch this video to learn more about our organization, SCOT:
SCOT's Automated Inventory Management (AIM) team is seeking talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. In the role you will help lead inventory management innovation and define the SCOT roadmap and system improvements to automate worldwide inventory management and identify and drive long term free cash flow opportunities.
In this role you will…
- Support the launch of new countries onto the AIM operating model
- Dive deep to create insights on how well Amazon is taking care of the customer as it relates to product availability, speed and inventory levels
- Drive business changes through data insights to improve a wide range of internal products that impact planning, buying and sourcing.
- Develop improvements and invent new ways to look at data / trends via data and an internal worldwide customer portal.
- Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.
- Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items using AWS redshift
- Explore/analyze data and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers
This role will likely be a good fit for you if you currently…
- Use business analyses to propose innovative and profitable business initiatives to senior management/executives.
- Analyze and synthesize large data streams across multiple inputs.
- Find and create ways to measure the customer experience to drive business outcomes.
- Curious to identify patterns in data and how they relate to the business outcomes
Our diversity, measured by thought, gender and culture, is paramount to our ability to meet the evolving needs of our customers.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
