Business Intelligence Engineer, FBA Product Analytics

Global technology and e-commerce company that operates the world's largest online marketplace and cloud computing platform.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, FBA Product Analytics

Join Amazon's Fulfillment by Amazon (FBA) Inbound data science team as a Business Intelligence Engineer, where you'll work with massive datasets to optimize inbound supply chain operations across 10 countries serving over 2 million sellers. This role combines data analysis, engineering, and business intelligence to drive critical decisions in Amazon's marketplace operations.

You'll be responsible for analyzing terabytes of data to generate actionable insights, building robust data pipelines, and creating self-service dashboards that enable product teams to make data-driven decisions. The position requires expertise in data warehousing, ETL processes, and statistical analysis, using tools like SQL, Python, and various visualization platforms.

This is an excellent opportunity for someone who enjoys working with large-scale data systems and wants to impact global e-commerce operations. You'll collaborate with product teams to optimize cost, speed, and network capacity utilization while building innovative solutions for Amazon's vast seller network.

The role offers competitive compensation ranging from $89,600 to $185,000 based on location, plus comprehensive benefits including medical coverage and 401k. You'll be working at Amazon's Bellevue office, contributing to one of the world's largest e-commerce platforms while solving complex data challenges that affect millions of sellers and customers worldwide.

Last updated 7 minutes ago

Responsibilities For Business Intelligence Engineer, FBA Product Analytics

  • Deep dive into data to uncover actionable insights
  • Create robust reporting to increase visibility into the metrics and data
  • Partner with key stakeholders to enable data driven decision making
  • Partner with data engineers to build data pipeline and standardize data transformation logic
  • Design and implement scalable self-service dashboards
  • Apply statistical techniques to infer impact of product and policy decisions on business outcomes

Requirements For Business Intelligence Engineer, FBA Product Analytics

Python
  • 3+ 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)
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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