Business Intelligence Engineer, Selling Partner Services

World's most customer-centric company focused on e-commerce, cloud computing, and technology innovation.
$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, Selling Partner Services

Amazon's Selling Partner Services (SPS) team is seeking a Business Intelligence Engineer to join their Forecasting & Planning Research (FPR) team. This role combines analytical expertise with strategic thinking to drive innovation in global forecasting and capacity planning. The position offers a unique opportunity to work with large-scale data systems and advanced analytics, developing solutions that directly impact Amazon's seller ecosystem.

The role involves working with cutting-edge technology and data science applications, requiring expertise in data warehousing, ETL processes, and statistical analysis. You'll be responsible for building and optimizing data pipelines, implementing forecasting models, and creating comprehensive systems that bridge forecasting processes with operational functions.

Amazon offers a collaborative environment with emphasis on work-life balance and professional growth. The team consists of diverse experience levels and focuses on knowledge sharing and mentorship. The position comes with competitive compensation ($89,600 - $185,000 based on location) and comprehensive benefits.

This is an excellent opportunity for data professionals who want to make a significant impact at scale, working with one of the world's largest e-commerce platforms. The role combines technical expertise with business strategy, offering a path to grow both technical and leadership skills while working on meaningful projects that enhance Amazon's seller services platform.

Last updated a day ago

Responsibilities For Business Intelligence Engineer, Selling Partner Services

  • Streamline and standardize data ingestion process
  • Improve efficiency, reliability, and scalability of data handling across all sources
  • Create robust platform and framework to develop, deploy, and manage forecasting models in production
  • Implement advanced, event-driven architecture for forecast generation
  • Develop comprehensive system for forecast accuracy and integration
  • Drive quarterly business reviews across SPS
  • Work with data scientists & analysts to translate business requirements
  • Research new algorithms and innovations in data science and machine learning

Requirements For Business Intelligence Engineer, Selling Partner Services

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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
  • Python scripting experience to process data for modeling

Benefits For Business Intelligence Engineer, Selling Partner Services

Medical Insurance
  • Medical benefits
  • Financial benefits
  • Work-life balance
  • Career growth opportunities
  • Mentorship programs
  • Employee-led affinity groups

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