Data Scientist / Business Intel Engineer, Eu Prime And Marketing Analytics & Science

Overview

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer‑centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. The position can be based in Milan or Barcelona. The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value, and uses the latest data science tools and advanced analytical techniques to study purchase and engagement behaviors and generate actionable insights.

Responsibilities

• Work on complex loosely defined analytics problems and define the team's BI strategy.
• Deliver independently and influence the organization's BI architecture.
• Provide analytics solutions for complex business problems, building analyses and solutions that are robust, extensible and scalable.
• Communicate effectively with management audiences (e.g., narratives, inputs into Business Reviews).
• Refine BI strategies that cross teams and make technical trade‑offs for long‑term/short‑term needs.
• Design and implement technical solutions with an appropriate analytics strategy and data set design.
• Understand system limitations, scaling factors, boundary conditions, and reasons for technical decisions.
• Provide analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities.
• Drive best practices in operational excellence, data modelling, and analysis.

Basic Qualifications

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• Experience with forecasting and statistical analysis.
• Experience with data modelling, warehousing and building ETL pipelines.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience in statistical analysis packages such as R, SAS and Matlab.
• Experience with developing and presenting recommendations of new metrics that allow a better understanding of business performance.
• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or an equivalent quantitative field.

Preferred Qualifications

• Experience in data mining, ETL, etc., and using databases in a business environment with large‑scale, complex datasets.
• Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success.