Amazon · 11 months ago
Senior Business Intelligence Engineer, SCOT Inventory Placement
New York, New York, USA
Full-time
Onsite
Senior Level
$117K/yr - $203K/yr
5+ years expAmazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. As a Senior Business Intelligence Engineer within the Placement team, you will conduct end-to-end analytics and create analytical tools that enhance scalability and optimization in Amazon's supply chain operations.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
Responsibilities
Gather requirements from internal or external customers and work backwards those to design analytical solutions to solve business needs
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
Contribute to and follow best practices for development of analytical solutions components including query optimization, table design and data visualization
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
Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies
Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance
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
Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes
Coach junior members of the team and/or other external teams about how Placement systems works and best practices for data analytics
Engage proactively in continuous learning initiatives to consistently enhance and broaden your toolkit of supply chain systems and data technologies
Qualification
Required
5+ years of SQL experience
5+ years of professional or military experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills
Experience with AWS technologies
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Preferred
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience solving analytics issues in supply chain
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
WSJ.com: US Business
2026-02-26
IEEE Spectrum
2026-02-26
Company data provided by crunchbase