Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

Amazon; Madrid; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading e-commerce company based in Madrid seeks a Business Intelligence Engineer to enhance last-mile delivery capabilities through data-driven insights. The ideal candidate will utilize their expertise in SQL, data visualization, and statistical analysis to manage complex datasets and drive decision-making processes. This full-time role involves collaborating with cross-functional teams to optimize analytics and improve operational efficiency across Europe.

Formación

• Experience in analyzing and interpreting data with SQL and various database technologies.
• Experience with data visualization and reporting tools.
• Knowledge in statistical analysis and building ETL pipelines.

Responsabilidades

• Manage analytics and modelling projects across teams.
• Optimize last-mile delivery operations with data analysis.
• Automate mechanisms to manage complexity at scale.

Conocimientos

Business Intelligence

SQL

Data Visualization

Tableau

Data Modeling

Herramientas

Redshift

Oracle

NoSQL

Tableau

Python

Descripción del empleo

You will serve as a member of Capacity Strategy and Insight within the AMZL EU Launch and Expansion team, responsible for growing Amazon’s last‑mile delivery capability across Europe. Your focus will be on optimization, automation and scalability: improving the tools, reporting and insight we need to scale effectively over the next 3‑6 years and building the data automation and modelling that lets us do that. Where do we need better insight? What needs to be done to deliver that? How do we maintain the underlying data architecture to keep things scalable?

Scalability is also about the processes and mechanisms we use internally to manage and plan infrastructure and capacity, and you’ll be streamlining and improving those as well. The automation and tools you create will have a big hand in making sure we have enough capacity to meet customer needs across Europe over the coming years.

Key job responsibilities

• Assisting the team on managing a portfolio of analytics and modelling projects across multiple internal customers where demand invariably outstrips supply
• Act as design contributor for our data architecture, assisting the roadmap and ensuring it meets the needs of our present and future work
• Handle large volumes of data to optimize last‑mile delivery operations; create reports, analyse data and derive actionable insights to drive decision‑making
• Collaborate with matrixed, cross‑functional teams to streamline the processes and mechanisms that let us plan and forecast accurately
• Build tools and automate mechanisms to manage ever‑increasing complexity at scale
• Utilize analytical skills, business judgement and strategic thinking to innovate on behalf of customers
• Own projects from inception to completion, growing our technical capabilities and influencing work processes
• Communicate clearly on development with technical and non‑technical stakeholders throughout the whole project lifecycle

A day in the life

As a Business Intelligence Engineer you’ll own projects focused on providing insight and driving decisions that maximize our delivery capability while bringing cost down. You will use a combination of analytical skills, business judgement and strategic thinking to innovate on behalf of our customers. Your work will cover creating and improving reports, discovering new technical capabilities, writing documents, building tools and helping influence the way we work within L&E. You’ll partner with diverse cross‑functional teams to develop new processes and mechanisms as our business evolves.

About the team

You click on your screen and the next day an Amazon parcel arrives at your doorstep. It must be magic—well, not entirely. It’s a mixture of precision, invention and world‑class supply chain logistics. It’s a host of teams working closely together to deliver a slick experience for our customers. It’s the use of data to understand what’s going to be needed and making sure we’re ready to handle that demand. It’s paying attention to detail while also having a good understanding of the big picture. And this role plays a big part in making it happen.

Required Experience

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau, Quicksight or similar tools
• Experience with data modelling, 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 modelling
• 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

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to learn more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit our resources for more information. If the country/region you’re applying in isn’t listed, please contact your recruiting partner.

Key Skills

Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills

Employment Type: Full‑Time

Experience: years

Vacancy: 1