Data Analyst
Data Analyst
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Job Description
Amazon is rapidly expanding in Australia. We continue to invest heavily in the creation of a best in class delivery network to delight Australians with amazing customer experiences. Data is at the heart of everything we do and its especially critical to the success of our logistics teams in their quest to deliver your goods to you faster than ever before. To do so we have created the exciting position of Data Analyst.
Amazons AU Delivery Service team is seeking a skilled Data Analyst to build and own endtoend data pipeline automation and metric reporting processes that optimize our local logistics operations and drive customercentric decisions.
At Amazon were driven by data. Our vast global infrastructure generates an unprecedented volume of data daily requiring secure and innovative engineering solutions to organize automate and optimize for our local AU operations. As both a data producer and consumer youll be an expert in Amazons data ecosystem building data models and ensuring timely data availability using AWS tools and other Amazons internal technologies.
Key Job Responsibilities:
Collaborating with stakeholders to gather requirements and formulate problems into data solutions
Working closely with crossfunctional teams communicating effectively with both technical and nontechnical stakeholders
Architecting and implementing scalable data pipelines and reporting processes using AWS services and Amazons internal ETL tools
Applying best practice in access permissions and security controls for data and applications
Creating and optimizing data models to support business insights and decisionmaking
Developing and enhancing dashboards
Mapping datasets to operation and business processes
Serving as a subjectmatter expert on Amazons data ecosystem
Developing standardized approaches to handle marketspecific data nuances while maintaining global consistency
Maintaining critical documentation.
Previous working experience in comparable data engineering or business intelligence role
Advanced proficiency in SQL and experience with big data technologies
Strong knowledge of data warehousing concepts and dimensional modeling (e.g. designing fact and dimension tables implementing slowly changing dimensions schema design table key design and data denormalization techniques)
Expertise in AWS services for data pipelines and analytics (e.g. Redshift Glue EMR S3 Lambda API Gateway)
Experience with data visualization tools (e.g. QuickSight)
Solid understanding of data security principles
Excellent communication skills with the ability to convey complex technical information to diverse audiences.
AWS certifications (e.g. AWS Certified Cloud Practitioner) or equivalent handson experience
Experience with Amazons internal technologies and data ELT platforms
Proficiency in programming languages such as Python or Java
Familiarity with machine learning concepts and tools (e.g. SageMaker)
Strong problemsolving skills and ability to work in a fastpaced environment
Experience working in crossfunctional teams and collaborating with various stakeholders
Bachelors Degree in Computer Science Software Engineering or a related technical field.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Amazons AU Delivery Service team is seeking a skilled Data Analyst to build and own endtoend data pipeline automation and metric reporting processes that optimize our local logistics operations and drive customercentric decisions.
At Amazon were driven by data. Our vast global infrastructure generates an unprecedented volume of data daily requiring secure and innovative engineering solutions to organize automate and optimize for our local AU operations. As both a data producer and consumer youll be an expert in Amazons data ecosystem building data models and ensuring timely data availability using AWS tools and other Amazons internal technologies.
Key Job Responsibilities:
Collaborating with stakeholders to gather requirements and formulate problems into data solutions
Working closely with crossfunctional teams communicating effectively with both technical and nontechnical stakeholders
Architecting and implementing scalable data pipelines and reporting processes using AWS services and Amazons internal ETL tools
Applying best practice in access permissions and security controls for data and applications
Creating and optimizing data models to support business insights and decisionmaking
Developing and enhancing dashboards
Mapping datasets to operation and business processes
Serving as a subjectmatter expert on Amazons data ecosystem
Developing standardized approaches to handle marketspecific data nuances while maintaining global consistency
Maintaining critical documentation.
Previous working experience in comparable data engineering or business intelligence role
Advanced proficiency in SQL and experience with big data technologies
Strong knowledge of data warehousing concepts and dimensional modeling (e.g. designing fact and dimension tables implementing slowly changing dimensions schema design table key design and data denormalization techniques)
Expertise in AWS services for data pipelines and analytics (e.g. Redshift Glue EMR S3 Lambda API Gateway)
Experience with data visualization tools (e.g. QuickSight)
Solid understanding of data security principles
Excellent communication skills with the ability to convey complex technical information to diverse audiences.
AWS certifications (e.g. AWS Certified Cloud Practitioner) or equivalent handson experience
Experience with Amazons internal technologies and data ELT platforms
Proficiency in programming languages such as Python or Java
Familiarity with machine learning concepts and tools (e.g. SageMaker)
Strong problemsolving skills and ability to work in a fastpaced environment
Experience working in crossfunctional teams and collaborating with various stakeholders
Bachelors Degree in Computer Science Software Engineering or a related technical field.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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