DESCRIPTION

Amazon has an exciting opportunity for a Business Intelligence Engineer to join our online retail team. The Retail team operates as a merchant in Amazon, the team owns functions like merchandising, marketing, inventory management, vendor management and program management as core functions. In this pivotal role, you’ll be supporting these functions with business intelligence you derive from our vast array of data and will play a role in the long term growth and success of Amazon in the APAC region.

You will be working with stakeholders from Pricing Program to contribute to Amazon’s Pricing strategies, partnering with Vendor and Inventory managers to help improve product cost structures, supporting the marketing team to build their strategies by using extremely large volumes of complex data. You will be exploring datasets, writing complex SQL queries, building data pipelines and data visualization solutions with AWS Quicksight. You will be also building new Machine Learning models to predict the outcomes of key inputs.

Key job responsibilities
As a BI Engineer in the APAC Retail BI team, you will build constructive partnerships with key stakeholders that enable your business understanding and ability to develop true business insights and recommendations. You’ll have the opportunity to work with other BI experts locally and internationally to identify to learn and develop best practices, always applying a data- driven approach. Amazon is widely known for our obsession over customers. In this role your stakeholders will be counting on you to help us understand customer behaviour and improve our offerings.

This role does include periodic reporting responsibilities, but it’s really much more diverse than that. If this role is right for you, you will enjoy the challenge of pivoting between ad-hoc pieces of analysis, reporting enhancement, new builds as well as working on long-term strategic projects to enhance the BI & Analytics capabilities in Amazon.

BASIC QUALIFICATIONS

– 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 (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
– Experience with scripting language (e.g., Python, Java, or R)

PREFERRED QUALIFICATIONS

– Master’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysis