Business Intelligence Engineer , RoW SHARP Team

Amazons APEX SHARP team is established with the mission to drive customer experience and cost improvement and support business growth in the countries in scope. RoW team covers IN JP and Emerging Countries (BR MX AU AE SA TR EG ZA SG). 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 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
SHARP 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 assignment 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.

- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt experience
- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 3 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience working in e-commerce / retail / supply chain / financial services business
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience with forecasting and statistical analysis

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