Business Intelligence Engineer, Eu Selection

Amazon EU SARL (Spain Branch); Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A multinational technology company in Madrid is looking for a Business Intelligence Engineer to create data-driven solutions. You will develop analytics tools and reporting solutions, ensuring data integrity and facilitating decision-making. The ideal candidate has skills in data analysis, visualization tools, and programming. This position requires strong communication and problem-solving abilities to support business objectives.

Formación

• Experience in analyzing and interpreting data with various databases.
• Experience with data visualization and ETL pipelines.
• Statistical analysis experience using common packages.
• Experience in the data/BI space.

Responsabilidades

• Align work with business objectives to deliver value.
• Analyze and solve root business problems.
• Develop metrics, reports, analyses, dashboards for business decisions.
• Adopt best practices in reporting and analysis.
• Write high-quality code to retrieve and analyze data.
• Respond urgently to high priority requests.

Conocimientos

Data analysis

Problem-solving

Business communication

Data integrity

Herramientas

Redshift

Oracle

NoSQL

Tableau

Quicksight

SQL

Python

R

SAS

Matlab

Descripción del empleo

Additional locations include : Paris, Luxembourg, London, Milan or Madrid

The EU Selection team is looking for a Business Intelligence Engineer with broad technical skills and world-class data management skills to develop the systems we use to support our selection and vendor growth, development and expansion across the EU landscape as well as defect identification and elimination.

In this role, you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that persist data from production systems into the data warehouse and end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven.

The successful candidate will :

• Have an understanding for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively.
• Analyze and solve business problems at their root, stepping back to understand the broader context.
• Develop solutions that utilize the highest standards of analytical rigor and data integrity.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Recognize and adopt best practices in reporting and analysis : data integrity, test design, analysis, validation, and documentation.
• Write high quality code to retrieve and analyze data.
• Use data mining, model building, and other analytical techniques.
• Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
• Respond with urgency to high priority requests from senior business leaders.

BASIC QUALIFICATIONS

• 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

Intelligence Engineer • Madrid, Community of Madrid, ESP