Business Intelligence Engineer, AU/SG 3P Program
Amazon
- Sydney, NSW
- Permanent
- Full-time
- Become a subject matter expert in BI and data specific to the programs you own.
- Identify business needs and improvements in order to track the right metrics and ensure they are reported.
- Develop the next-generation data and analytics infrastructure to enable Amazon Business to support its customers and sales teams.
- Manage and execute large project components from start to finish, including data collection and manipulation, synthesis and modelling, problem solving, and communication of insights and recommendations.
- Design, develop, and maintain dashboards and deep dive analyses for reporting customer and seller metrics.
- Write high-quality SQL code to retrieve and analyze data, as well as learn and understand a broad range of Amazon's data resources.
- Participating in and contributing to technical reviews, such as code reviews and dashboard logic reviews.A day in the life
As a Business Intelligence Engineer, you will be expected to collaborate with both technical and non-technical stakeholders. You will use Redshift SQL to create queries and pull data into Quicksight to create powerful visualisations. You will also be expected to understand the metrics we report on and why they were implemented in the way they were in order to provide feedback to your stakeholders. You will also play a key role in the development of a reliable and scalable data platform, as well as a suite of self-service applications for ongoing reporting and analytics.We are open to hiring candidates to work out of one of the following locations:Sydney, NSW, AUSBASIC QUALIFICATIONS- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with forecasting and statistical analysis
- Experience with Machine Learning and Data Science ProjectsAcknowledgement 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.