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Automated Data Pipeline Specialist

2 weeks ago

Sydney, New South Wales, Australia Amazon Full time
The Role of a Data Analyst in Optimizing Local Logistics Operations

At Amazon, data is at the heart of everything we do. To deliver exceptional customer experiences, our logistics teams rely on data-driven insights to optimize their operations. The Data Analyst position is a critical component of this effort, responsible for building and owning end-to-end data pipeline automation and metric reporting processes. By leveraging your expertise in data modeling, security controls, and access permissions, you will ensure the scalability and reliability of these processes, enabling our teams to make informed decisions and drive business outcomes.

The Ideal Candidate for the Data Analyst Position

We are seeking an experienced Data Analyst who possesses a unique blend of technical and business acumen. The ideal candidate will have previous working experience in comparable data engineering or business intelligence roles, advanced proficiency in SQL and experience with big data technologies, strong knowledge of data warehousing concepts and dimensional modeling, and expertise in AWS services for data pipelines and analytics. Additionally, experience with data visualization tools, solid understanding of data security principles, and AWS certifications are highly valued. A Bachelor's Degree in Computer Science, Software Engineering, or a related technical field is required.

A Day in the Life of a Data Analyst

As a Data Analyst, you will spend most of your time collaborating with stakeholders to gather requirements and formulate problems into data-driven solutions. You will work closely with cross-functional teams to design and implement scalable data pipelines and reporting processes, ensuring timely data availability using AWS tools and other Amazon's internal technologies. Your expertise in data modeling and security controls will enable you to create and optimize data models to support business insights and decision-making. You will also develop and enhance dashboards, map datasets to operation and business processes, and serve as a subject-matter expert on Amazon's data ecosystem. With a focus on innovation and continuous improvement, you will play a critical role in shaping the future of Amazon's logistics operations.