Business Intelligence Engineer, Inventory Placement

Description

The Inventory Placement team within the Supply Chain Optimization Technologies organization looks for a Business Intelligence Engineer to help evolve cutting-edge algorithms that determine where each unit entering the Amazon Fulfillment Network worldwide should be placed to maximize shipping speed and minimize cost.

As a Business Intelligence Engineer within the Placement team, you will play a crucial role as a member of a high-performance and fungible Business Intelligence team. Your responsibilities include conducting end-to-end analytics at the intersection of various advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will dive deep into complex systems, and create analytical tools that drive ever-greater scalability and optimization of every aspect of placement, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable.

Key job responsibilities

Major responsibilities include:

• Design / Build / Scale

a. Gather requirements from internal or external customers and work backwards those to design analytical solutions to solve business needs.

b. Create end-to-end analytical solutions (i.e. Datasets, data pipelines, dashboards, predictive models, process automation, etc.) which scale worldwide using technologies such as Redshift, Datanet, Quicksight, Cradle, Python, etc.

c. Contribute to and follow best practices for development of analytical solutions components including query optimization, table design and data visualization.

• Deep Dive into Systems

Understand the functioning of Placement systems and their upstream and downstream interactions with other SCOT systems in order to produce better and faster analytical products.

• Measure / Quantify / Expand

a. Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.

b. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

c. Explore/analyze data and work with Research Scientists, Data Scientists and Product Managers to understand system behaviors, spot defects, and benchmark our ability to serve our customers

d. Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes.

• Learning

b. Engage proactively in continuous learning initiatives to consistently enhance and broaden your toolkit of supply chain systems and data technologies.

About the team

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.

The Placement team operates within Amazon's Supply Chain Optimization Technology/Inventory Planning and Control organization. Its primary responsibility is strategically determining the placement of every inventory unit for both the Retail and FBA businesses across all Amazon websites globally. The team manages systems that optimize the vast fulfillment network, ensuring the ideal inventory placement to enhance customer and seller satisfaction on a global scale.

Basic Qualifications

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data modeling, warehousing and building ETL pipelines

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience writing complex SQL queries

Experience in Statistical Analysis packages such as R, SAS and Matlab

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Masters degree in computer science, mathematical, statistical, or data oriented field.

Experienced in R and Python.

Experienced in Machine Learning modelling and applications to generate production system inputs.

Understanding of how software development is employed in production optimization decisions.

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.

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 $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.