Business Intelligence Engineer II, Retail Business Service Data Engineering Team

Retail Business Services (RBS) supports Amazons Retail business growth WW through three core tasks. These are (a) Selection where RBS sources creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.
Our team of high caliber software developers applied scientists data engineers product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team
This individual will be responsible for driving/creating:
Experience working with large multi-dimensional datasets from multiple sources
Make recommendations for new metrics techniques and strategies to improve the operational and quality metrics.
Proficient using at least one data visualization product (Tableau Qlik Amazon QuickSight Power BI etc.)
Experience in deployment of Machine Learning and Statistical models
Building new Python utilities and maintaining existing ones
Enabling more efficient adhoc queries & analysis
Working closely with research scientists business analysts and product leads to scale data
Ensuring consistency between various platform operational and analytic data sources to enable faster and more efficient detection and resolution of issues
Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
Mentoring the team on analytics best practices


- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- 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
- 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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