Business Intel Engineer II, ROW Sharp Team

Amazon's ROW central team is established with the mission to drive customer experience and cost improvement and support business growth in the countries in scope. ROW central team covers IN, JP and Emerging Countries (BR, MX, MENA, SG, AU). The UPx and Placement BI team build up and monitor critical metrics across supply chain flow, and conducts advanced data analysis to identify system algorithm improvement opportunities. This team has worked with both local business team and multiple SCOT teams for years to bring data visibility, automate data solutions with key focus on fulfillment experience optimization, inventory placement, S&OP planning and inbound/removal etc. The BI role will be a dedicate resource for emerging countries to support the requests along with network expansion and volume increase in coming years.



Key job responsibilities
ROW SC BI team is looking for a customer-focused, detail-oriented, self-motivated, hands-on BIE. He/she would work closely with all emerging countries on:
1) Metrics build-up/maintenance across all supply chain functions, including but not limited to key metrics on UPB, UPPD, instock rate, transfer volume etc.
2) Translating business questions and concerns into specific analytical questions that can be answered with available data using Statistical methods.
3) Simulations and modeling with internal or external tools to study complex supply chain use cases on inventory placement and order fulfillment
4) Metrics related deep dive, call-outs on weekly and monthly basis.- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 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
- Experience defining requirements and using data and metrics to draw business insights
- Experience or knowledge on Supply Chain, Logistics or e-commerce
- Master's degree or equivalent

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