Business Intel Engineer II, SCOT - Automated Inventory Management

Amazon•Bellevue, WA

22h•$99,500 - $160,000•Onsite

About The Position

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems, deciding what, when, where, and how much to buy to meet business goals and customer satisfaction for millions of items across hundreds of product lines worth billions of dollars worldwide. Our systems are built entirely in-house and are automated large-scale business operations, 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 Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes, and workflow systems. The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g., software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well, we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets, and Data analytics. Candidates might be willing to work with other BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.

Requirements

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
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
Experience in the data/BI space
Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

Nice To Haves

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Master's degree or above in a quantitative field

Responsibilities

Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables)
Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
Developing dashboards and insight products
Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
sign-on payments
restricted stock units (RSUs)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave