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Business Intelligence Engineer, APAC Retail BI

Global technology and e-commerce company known for online retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, APAC Retail BI

Amazon is seeking a Business Intelligence Engineer to join their APAC Retail BI team, focusing on supporting the online retail operations. This role combines data analysis, business intelligence, and machine learning to drive strategic decisions. The position involves working with various teams including merchandising, marketing, inventory management, and vendor management.

The ideal candidate will analyze vast amounts of data to derive actionable insights, build data pipelines, and create visualization solutions using AWS Quicksight. They'll work on pricing strategies, product cost structures, and marketing initiatives, all while maintaining Amazon's customer-obsessed approach.

This role offers a diverse mix of responsibilities, from ad-hoc analysis to long-term strategic projects, requiring both technical expertise and business acumen. The position provides opportunities to work with BI experts both locally and internationally, developing best practices and enhancing Amazon's analytics capabilities.

Working at Amazon means joining a company known for innovation and customer obsession. You'll be part of a team that values data-driven decision making and has a direct impact on the company's success in the APAC region. The role offers exposure to cutting-edge technologies and the chance to work with some of the largest datasets in retail.

Last updated a month ago

Responsibilities For Business Intelligence Engineer, APAC Retail BI

  • Support retail functions with business intelligence derived from data
  • Work with stakeholders from Pricing Program to contribute to Amazon's Pricing strategies
  • Partner with Vendor and Inventory managers to help improve product cost structures
  • Support marketing team to build strategies using large volumes of complex data
  • Explore datasets, write complex SQL queries, build data pipelines
  • Build data visualization solutions with AWS Quicksight
  • Build new Machine Learning models to predict outcomes of key inputs

Requirements For Business Intelligence Engineer, APAC Retail BI

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools and statistical methods
  • Experience with scripting language (e.g., Python, Java, or R)

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