Business Intelligence Engineer Other Hardlines, EU 3P

Business Intelligence Engineer Other Hardlines, EU 3P

Stellen-ID: 3009546 | Amazon EU SARL (Germany Branch)

Since 1994, Amazon has continuously expanded its product selection and innovated on behalf of customers in an ongoing effort to become Earth's most customer-centric company. Amazon aspires to offer customers the world’s largest selection, made possible by its Marketplace for third-party Sellers. As of 2024, third-party Sellers account for over 60% of total sales on Amazon worldwide, with Other Hardlines (OHL) representing the largest product category.

We are seeking a strong business intelligence engineer who can surface key insights from data. You will contribute to the long-term vision for the team, conduct data analyses, identify high-impact opportunities for predictive analysis and business experimentation, improve data integrity, create metrics that fill knowledge gaps, model and visualize data patterns, support data reporting needs, and analyze the quantitative impact of business experiments and innovations. Additionally, this role will be instrumental in developing reliable and scalable infrastructure for ongoing analytics and reporting to deliver actionable insights to business leaders. As a BI Engineer, you will work with category managers to communicate insights to key stakeholders. You should be able to execute your skills effectively and influence, educate, and drive results in a fast-paced, ambiguous environment.

This role offers an exciting opportunity to shape the future of Amazon's OHL business in Europe, drive innovation, and deliver exceptional value to both sellers and customers. If you're passionate about e-commerce, customer-centric innovation, and leading high-impact initiatives, we want to hear from you!

Key job responsibilities

Note: Job location is flexible and can be based in Munich, Berlin, London, Paris, Madrid, Milan, or Luxembourg.

• Design and implement reporting solutions enabling program and category managers to make effective decisions.
• Monitor existing metrics, develop and propose new metrics, and identify new, actionable insights.
• Develop, validate, and maintain recurring or ad hoc reports to ensure accurate, up-to-date reporting using SQL, Excel, and/or other scripting languages. Conduct audits and build insightful visualizations using Tableau, QuickSight, etc.
• Basic understanding of statistical analysis, identifying trends, and making data-driven recommendations.

Grundqualifikationen

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 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.
• Proficiency in SQL and scripting (Python) for data processing and modeling.
• Experience in the data/BI space.

Bevorzugte Qualifikationen

• Experience in data mining, ETL processes, and working with large-scale, complex datasets in a business environment.

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