Easter Seals Jobs

Description

Amazon has an exciting opportunity for an experienced Business Intelligence expert to join our online retail team. The Retail team operates as a merchant in Amazon Australia, does 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 Australia.

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.

As a BI Manager in the Australia Retail 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 Australia.

Basic Qualifications

• 5+ 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience in Statistical Analysis with Python

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Acknowledgement of country:

In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.