Amazon Business Intelligence Engineer EU International Technology INTech 

France, Ile-de-France 

899941840

We have a roadmap focused on expanding the Warranty Repairs Program to comply with the regulation changes around repairs in the EU. In March 2023, the EU Commission released the draft for the "Right to Repair" to increase the useful lives of products through repair. It proposes that sellers shall be required to offer repair of a defective item whenever it is cheaper to repair than replace within the legal guarantee period (≥2 years of purchase). To comply with the regulation, (1) we will build self-service repair onboarding experiences for vendors and repair partners, enabling us to scale the existing repair offering to most of warranty cases in focus categories and as much as possible across all remaining repairable categories; (2) we will expand these tools to 3P sellers, thus allowing them to comply as well; (3) we will mitigate gaps in the current customer experience.Key job responsibilities
In this role, you will:* Work closely with cross-functional teams, Product, and other Data Engineers across the Retail organization.
* Use analytic tools and languages (notably SQL), and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Tableau.
* Build scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision-making.
* Investigate data sources across Amazon and expand existing data infrastructure.* Develop a thorough understanding of customer behavior, competitive product trends, and business drivers to inform decision-making.
* Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to influence busniess stakeholders.
* Collaborate with finance and product management as a leader of ongoing analytical support.* Propose and prioritize changes to reporting and create additional metrics and processes based on program changes and customer requirements.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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