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# Data Scientist / Business Intel Engineer, EU Prime and Marketing Analytics & Science (PRIMAS)

- **Company:** Amazon.com, Inc.
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Data Analysis, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, NoSQL, Oracle (Applications), Standard Sql, SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Data Strategy, Amazon Redshift
- **Published:** May 21, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=a0dcbb1ff8384da2

## About the Role

Do you have experience in Tableau?, * 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
 * Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
 * Experience with SQL
 * Experience in the data/BI space

PREFERRED QUALIFICATIONS

 * Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
 * Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

## Description

You are good at:

 * Working on complex loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy. Delivering independently, and influencing the organization's BI architecture
 * Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs.
 * Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions
 * Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities
 * Driving best practices in operational excellence, data modelling, and analysis


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