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Business Intelligence Engineer, Marketing and Prime

Amazon Commercial Services Pty Ltd -
Sydney NSW

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Job Details

Full-time
5 days ago

Qualifications

MATLAB
Data modelling
Data mining
SAS
AWS Certification
NoSQL
Tableau
SQL
AWS
Scripting
S3
Redshift
DynamoDB
AI
Data warehouse

Full Job Description

DESCRIPTION

Join Amazon's Prime and Marketing team as a Business Intelligence Engineer (BIE) to revolutionise how we understand, measure and serve our customer base. You'll architect and build enterprise-level data analytics solutions, including scalable ETL pipelines, automated AI powered reporting systems, and self-service analytics platforms that process petabytes of data daily across multiple dimensions. Working with technologies like AWS, Apache Kafka, Spark, and modern AI/ML tools, you'll create data analysis products that power critical decision-making across Amazon.

As a BIE, you'll be instrumental in defining and implementing key business metrics, building efficient dimensional data models, and leveraging advanced AI technologies like QuickSuite and ML-powered analytics. You'll design intuitive self-service platforms that enable business users to independently explore data, discover insights, and create automated reports. Beyond technical implementation, you'll lead end-to-end project execution, manage Marketing services data infrastructure, and establish key relationships across Amazon's business units. This role offers the opportunity to provide technical mentorship, drive architectural decisions, and shape the future of Amazon Marketing and Prime's data ecosystem, impacting millions of customers.

Key job responsibilities

Architect Local Foundations: Design and develop end-to-end analytics solutions (ETL, data modelling, and warehousing) tailored to the unique challenges of the Australian marketing and prime teams.
Drive Automation: Create automated reporting and interactive QuickSight dashboards that replace manual processes and allow stakeholders to deep-dive into performance metrics like customer engagement, marketing attribution, traffic, actuals vs. plan, etc.
Enable Scalability: Partner with data engineers, marketing & prime teams to build the data pipelines required for predictive models, directly impacting how we measure performance. Leverage Agentic workflows to build custom models for lifecycle, performance and marketing teams.
Process Innovation: Identify improvement opportunities at scale in our current workflows across measurement, reporting and execution systems.
Influence Strategy: Spot trends across marketing, lifecycle and performance accuracies, goals and measurement planning, providing data-driven evidence needed to influence decisions.

BASIC 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 in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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