
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
🌟 Culture
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...
Skills & Technologies
Overview
Amazon is hiring a Business Intelligence Engineer to enhance inbound efficiency and optimize supply chain sourcing operations. You'll work with SQL, ETL, and data visualization tools to drive data-driven insights. This position requires experience in data modeling and analytics.
Job Description
Who you are
You have a strong background in business intelligence and data analytics, with experience in designing and maintaining complex data models and ETL pipelines. Your proficiency in SQL allows you to create and optimize queries for large-scale data analysis, ensuring that data quality is maintained throughout the process. You are skilled in building interactive dashboards and visualizations that effectively communicate insights to stakeholders. Your collaborative nature enables you to work closely with cross-functional teams, translating business requirements into technical solutions.
You understand the importance of data quality controls and monitoring systems, and you have experience implementing automated reporting solutions that empower users with self-service analytics capabilities. Your analytical mindset drives you to continuously seek improvements in data processes and supply chain performance, making you a valuable asset to any team.
What you'll do
As a Business Intelligence Engineer at Amazon, you will play a crucial role in enhancing the visibility of inbound freight and optimizing sourcing operations. You will design, develop, and maintain complex data models and ETL pipelines that support sourcing analytics. Your expertise in SQL will be essential as you create and optimize queries for large-scale data analysis, enabling the team to derive actionable insights from data.
You will build interactive dashboards and visualizations that provide stakeholders with clear and concise information about supply chain performance. Collaborating with business stakeholders, you will gather requirements and translate them into technical solutions that drive efficiency and effectiveness in sourcing operations. Your role will also involve implementing data quality controls and monitoring systems to ensure the integrity of the data used for decision-making.
In addition, you will develop automated reporting solutions that facilitate self-service analytics capabilities for users, allowing them to access the information they need without relying on IT. Your contributions will help improve overall inbound lead times and enhance the efficiency of Amazon's supply chain operations.
What we offer
At Amazon, you will be part of a dynamic team that is dedicated to optimizing supply chain processes and enhancing customer satisfaction. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment where your ideas and contributions are valued, and you will have the chance to make a significant impact on the company's operations.
Join us in our mission to deliver exceptional service to our customers while continuously improving our supply chain capabilities. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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