Amazon Senior Manager North America Transfer Analytics Supply Chain 

United States, Washington, Bellevue 

687538765

Key job responsibilities
• Monitor inventory transfer flows across the NA Supply Chain, audit the inputs into the systems that govern those flows and remove blockers that keep them from connecting our network in an optimal fashion.
• Drive transfer and placement strategy over a multi-year horizon. Articulate how long-term goals break down into short to mid term actions and initiatives.
• Deliver step-changes in placement performance driven by inventory transfers through optimized configurations or improved processes.
• Work closely with development teams to further evolve the software we deploy to manage inventory transfers across the world.
• Dive deep into product-level anecdotes to search for gaps in our tools and processes.
• Report regularly on the placement impact of inventory transfers to senior management.
• Lead a team of 9 BIEs and Analysts.

- Knowledge of SQL and Excel
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)
- Experience managing analytics, data science or technology teams, with a product or insight focus
- 10+ years of professional experience in quantitative analytics, business intelligence, or related field
- Bachelor's Degree in mathematics, statistics or related field

- MBA
- Knowledge of product experimentation (A/B testing)
- Knowledge of a scripting language (Python, R, etc.)
- Experience using mathematical, analytical, and data-driven decision making skills
- Excellent written and verbal communication skills
- Ability to simplify complex topics for broad audiences, as the role requires effective communication with colleagues from computer science, operations research and business backgrounds
- A track record of problem solving and creativity in finding/designing new solutions and innovative methods, using software systems and the desire to create and build new processes
- Ability to handle multiple competing priorities and projects in a fast-paced environment
- Fluency in statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analyses, regression models, clustering.
- Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
- Experience working effectively with software engineering teams. Technical aptitude and familiarity with the design and use of software systems.
- Familiarity with supply chain management concepts - forecasting, planning, optimization