Business Intelligence Engineer II, RBS Tech, CAM

Business Intelligence Engineer II, RBS Tech, CAM

Retail Business Services (RBS) supports Amazon’s 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.

Responsibilities

This individual will be responsible for driving and 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 visualisation 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 learning the latest AWS technologies to provide new capabilities and increase efficiencies

Mentoring the team on analytics best practices

About the team

Retail Business Services (RBS) supports Amazon’s 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 where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine / Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.

Basic Qualifications

3+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modelling, 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 modelling

Preferred Qualifications

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

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