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Description

Have you ever ordered a product on Amazon websites and, when the box arrived, wondered how you got it so fast, how much it cost Amazon and what kinds of systems & processes must be running behind the scenes to power the whole operation? If so, the NA Supply Chain team is for you.

We are looking for a new leader for the NA Transfer Analytics team within the NA Supply Chain’s Inventory Placement team. Successful candidates will have the attitude of a data detective with strong analytical skills. They will work bottom up from anecdotes or top down from high-level metrics to improve algorithms and processes. They love solving complex problems but are also strong at simplifying them for a less technical audience, as presenting to senior audiences will be part of the challenge. Collaborating across software development, operations and transportation teams will also be a requirement for this highly visible role.

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.

Basic Qualifications

- 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

Preferred Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,600/year in our lowest geographic market up to $265,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.