Experteer Overview

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In this role you own analytics for EU Customer Experience programmes and Catalogue Health, shaping how European customers discover and buy. You will build data models and measurement frameworks that reveal impact and guide leadership decisions, working across cross-functional teams. You’ll implement production-grade data pipelines and analytics foundations that scale across ten marketplaces, including AI-powered self-serve capabilities.

You’ll operate in a fast-paced, ambiguity-tolerant environment, influencing priorities and driving insights from data to action. This is a strategic, impact-driven opportunity at the intersection of data, product, and customer experience.

Compensaciones / Incentivos

- Lead design and delivery of analytical data products (datamarts, automated reporting, deep-dive frameworks, AI-powered tools) to monitor EU customer experience.
- Define and track success metrics for programmes without measurement, partnering with senior stakeholders to establish targets and infrastructure.
- Build analytics linking catalogue quality to customer outcomes (engagement,



conversion, abandonment) and translate insights into prioritised actions.
- Develop measurement frameworks for AI-powered shopping experiences to guide scaling and direction.
- Contribute to AI-powered self-serve analytics, enabling product teams to go from question to insight to action.
- Create prioritisation and scoring models using Python on large retail datasets to influence resource allocation.
- Conduct deep-dive analyses to challenge assumptions and convert findings into concrete recommendations for roadmap decisions. xugodme
- Collaborate with Product and Program Managers to translate ambiguous goals into measurable frameworks and shape Director/VP-level priorities.

Responsabilidades

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with design of experiments and statistical analysis
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL
- Experience working with business stakeholders to translate data needs
- Experience with data visualization using Tableau, Quicksight, or similar

Requisitos principales

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📌 Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation (Madrid)
🏢 Amazon
📍 Madrid