Analytics Manager, Scot

DESCRIPTION Strategic Sourcing team in Supply Chain Optimization and Technology organization, is seeking an experienced and motivated Analytics leader. Strategic Sourcing team owns systems that are designed to: 1) reduce end to end costs from inbound supply chain and (2) improve vendor performance. Some of the key decisions that these systems make: when and if we should source a product (e.g. is the product obsolete or temporarily unavailable); from which vendor and at what cost we should source an ASIN; what is the ideal supply chain setup (e.g. Pallet, Truckload, etc.) for an ASIN/vendor; when should vendor ship/deliver inventory to Amazon FCs; which inbound lanes – vendor warehouse to Amazon FC – should have pre-allocated transportation with how many shipments; when should we penalize vendors for defects/infractions through chargebacks and by how much. Together these set of decisions and systems work together to ensure Amazon's inventory needs are met on time and in the most efficient way. We develop sophisticated algorithms that involve learning from large amounts of data to drive decisions that impact sourcing of $100B+ inventory WW.
Key job responsibilities
This role will be responsible for a wide range of products, tools, and services. This role would manage a team of 6 BIEs with the potential to expand through innovation. You would be responsible for partnering with product and tech teams. You will be looked to influence and set direction for the team and programs they support, leveraging analyses and reporting to impact business decisions and strategic initiatives that span across Retail and Ops. Your objectives will be linked to multiple S-Team and OLT goals.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA BASIC QUALIFICATIONS - 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software