Amazon.com Services LLC
E-Commerce
BusinessIntelligenceEngineerII,SCOT-AIM
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer II, SCOT-AIM at Amazon.com Services LLC. Skills: Data engineering, Business intelligence, Machine learning. Design and implement data pipelines. Develop and maintain data models”
Industry & Context.
Data analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in data engineering or related field, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Nice to Have
Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Design and implement data pipelines
Develop and maintain data models
Build and optimize ETL/ELT processes
Create and manage data warehouses
Develop business intelligence dashboards and reports
Perform data analysis to drive business insights
Collaborate with stakeholders to understand data needs
Implement machine learning models
Ensure data quality and integrity
Automate data processes
Monitor and troubleshoot data systems
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Software engineers; Data scientists
Process & Methodology
Agile methodologies
Full Job Description
Amazon’s Automated Inventory Management (AIM) team is looking for an experienced Business Intelligence Engineer to conceptualize, articulate, and develop state of the art technology to understand and measure the shopping experience of every Amazon customer. AIM is part of Amazon’s Supply Chain Optimization Technology (SCOT) organization, whose charter is to deliver the best possible customer experience while maximizing the return on our inventory investment, fulfillment assets, and transportation network in terms of long term free cash flow. We are never satisfied with the status quo and are convinced that there is always opportunity to innovate on behalf of customers. We are seeking talented individuals who enjoy the challenge of diving into complex problems and developing new capabilities to improve customer experience. Key job responsibilities - You will be owning building of data and AI products that provide stakeholders across Amazon with deep insights to identify and resolve defects. - We own metrics, bridges, anomaly detection, insight generation and defect repair systems used by Senior leadership, stakeholders and business teams across entire Amazon e-commerce organization worldwide. - You will always be challenged to think several steps ahead so that the solutions we are building today will scale well with future growth and without adding excessive operational overhead. - You will need to develop deep technical and business understanding of existing system (owned by us as well as other teams across Amazon) as you will responsible for identifying synergies and minimizing investment in redundant features. - You will work with supply chain operations teams, in-house scientists, other BI Engineers, and software teams to identify enhancement opportunities and new features for our data products. - Successful candidates should excel at diving into data in order to analyze problems and implement simple, long term solutions. - This is a highly visible role and will
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