Business Intelligence Engineer, Amazon Selection and Catalog Systems (ASCS)

Who you are

You have a strong background in business intelligence and data analytics, with at least 3-5 years of experience in building data solutions that drive business insights. You are proficient in SQL and have experience with data visualization tools like Tableau or Power BI. Your programming skills in Python enable you to manipulate and analyze large datasets effectively. You understand the importance of data quality and have experience implementing data governance practices. You are a collaborative team player who enjoys working with cross-functional teams to deliver impactful solutions. You are innovative and motivated, always looking for ways to leverage data to improve processes and enhance customer experiences.

Desirable

Experience with AWS services is a plus, as is familiarity with machine learning concepts. You have a keen interest in e-commerce and understand how data can drive decision-making in this space. You are comfortable presenting insights to stakeholders and can communicate complex data findings in a clear and actionable manner.

What you'll do

In this role, you will be part of the Catalog Support Programs team, where you will work closely with engineering teams, product managers, and organizational leaders to deliver end-to-end data solutions. You will be responsible for building self-service analytical products that provide relevant insights across the business. Your work will involve leveraging advanced analytics and AI/ML to transform catalog data into predictive insights, helping to prevent customer issues before they arise. You will support proactive decision-making by providing real-time intelligence that enables faster, data-driven decisions across the organization. You will also be involved in the implementation of business logic and configurations for the ASCS, ensuring that the systems run smoothly and efficiently.

What we offer

Amazon offers a dynamic work environment where you can grow your skills and advance your career. You will have the opportunity to work on large-scale systems that impact millions of customers worldwide. We provide competitive compensation and benefits, including health insurance, retirement plans, and employee discounts. You will be part of a diverse team that values innovation and collaboration, and you will have the chance to contribute to projects that enhance the customer experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.