Job Information
Amazon Business Intelligence Engineer, Automated Inventory Management in Bellevue, Washington
Description
Amazon’s Inventory Planning team is looking for experienced business intelligence engineers (BIEs) to identify and develop strategic initiatives to form our next generation inventory planning processes. The charter of the Supply Chain Optimization Technology group is to maximize the return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this through the determination of how much inventory Amazon needs to stock of each SKU in each of its fulfillment centers. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams.
As a Business Intelligent, you would be responsible for representing the US based Inventory Planning team to the retail and financial teams in the different Worldwide Regions where Amazon has a presence. This will entail coordinating inventory management use case analysis, automation system process rollout, and Sales and Operations Planning systems use case analysis and rollout.
You will help lead inventory management innovation and define SCOT’s product roadmap. You will work with the local retail organizations and supply chain operations teams, in-house scientists, Product Managers, and software teams to identify new features and projects. You will analyze the potential customer and financial impacts, select the most promising ideas, prioritize them, and create a cohesive roadmap that integrates them into our platform. You will also evangelize new features to our clients, working to accelerate feature adoption, track the realized impacts, and communicate results with the local senior leadership.
This is a highly visible role that requires partnering with WW Retail, Finance, and Operations teams to impact Amazon’s bottom line. You must have the experience and capability to prepare documentation for senior executives and align your roadmap with Amazon’s strategic objectives. Excellent written and verbal communication skills are a necessity. Successful candidates should excel at diving into data in order to analyze root causes and implement simple, long term solutions. They will thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world’s most flexible and effective supply chain management technology.
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.