Business Intelligence Engineer II, Optimal Inventory Health

Amazon • Bellevue, WA

1d

About The Position

SCOT Optimal Inventory Health (OIH) team manages Retail inventory health WW. We
own products that identify and remove overstock inventory through multiple
disposition channels – Markdowns, Deals, Coupons, Vendor Returns, and Google
Shopping Ads - across 20+ marketplaces. OIH Insights Team provides analytic
h horsepower to drive OIH strategy. We do so by :

1) Transforming raw, complex datasets into intuitive, and actionable insights to
inform business decision.
2) Building and maintaining modular, scalable data models that provide the
generality, flexibility, and responsiveness required for seamless self-service
insights.
3) Generating deeper insights through statistical modeling and machine learning.

We are looking for experienced, self-driven, and strategic Business Intelligence
Engineer with superior analytical skills. This position is critical to build
scalable BI solutions to support next-gen system transformation.

You will work partner closely with PMTs, Scientists, Economists, Engineers to
contribute to each layer of data solution (build data pipeline for scalable BI
solution, productionize self-service insights generation etc.)

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience writing complex SQL queries
• 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

Nice To Haves

• 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

Responsibilities

• Translating the business requirements to structured BI solutions.
• Designing and implementing BI technical solutions with the appropriate analytics strategy and data set design.
• Implementing data pipeline for insights generation.
• Translating the raw data into meaningful insights through collaboration with Product Managers, Data scientists and Data engineers.
• Structuring large scale, complex analysis and performing the analysis to generate insights.
• Driving business actions through insights to accelerate the business and technical evolution.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed