AmazonPosted 1w ago
Business Intelligence Engineer, SCOT Automated Inventory Management at Amazon scores 30 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Business Intelligence Engineer to build automated inventory auditing systems and data models for supply chain optimization.
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. Candidate might be willing to work with the others 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.
Responsibilities may include: - 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
Basic qualifications
- 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 with SQL
- Experience in the data/BI space
Preferred qualifications
- 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where modeling was part of your work. What did you do?
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- List these exact terms on your resume: Data Mining, Data Warehousing, Business Intelligence, Sql, and Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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