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

Amazon Jobs; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global e-commerce company is seeking a Business Intelligence Engineer to optimize last-mile delivery operations. The role involves managing analytics projects, collaborating with cross-functional teams, and utilizing data to drive decision-making. Candidates should have proficiency in SQL, data visualization tools, and experience with AWS solutions. This opportunity is based in Madrid, Spain, and offers a dynamic work environment focused on innovation and efficiency.

Formación

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL.
• Experience with data visualization using Tableau or similar tools.
• Experience in statistical analysis packages such as R, SAS, and Matlab.

Responsabilidades

• Manage analytics and modeling projects across internal customers.
• Optimize last-mile delivery operations through data analysis.
• Collaborate with cross-functional teams for accurate planning and forecasting.

Conocimientos

Data analysis

Data visualization

Data modeling

Statistical analysis

SQL proficiency

Herramientas

Redshift

Tableau

Python

AWS solutions

Descripción del empleo

Overview

Overview 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 needed to scale over the next 3-6 years, and building the data automation and modelling that enables this growth. This includes identifying where better insight is needed, defining what needs to be done, and maintaining the underlying data architecture to keep systems scalable. Scalability also includes internal processes and mechanisms to manage and plan infrastructure and capacity, and you will streamline and improve those as well. The automation and tools you create will help ensure we have sufficient capacity to meet customer needs across Europe in 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 current and future needs
• 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 processes and mechanisms that enable accurate planning and forecasting
• Build tools and automation to handle increasing complexity at scale
• Utilize analytical skills, business judgment, and strategic thinking to innovate on behalf of customers
• Own projects from inception to completion, growing technical capabilities and influencing work processes
• Communicate clearly with technical and non-technical stakeholders throughout the 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 delivery capability while reducing costs. You will combine analytical skills, business judgment, and strategic thinking to innovate for our customers. You will provide support and mentoring to develop the team, create and improve reports, explore new technical capabilities, write documents, build tools, and help influence how 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 next day an Amazon parcel arrives at your doorstep. It’s a blend of precision, invention, and world-class supply chain logistics, involving many teams delivering a smooth customer experience. This role uses data to understand what’s needed and ensure readiness to handle demand, balancing attention to detail with an understanding of the big picture. This role plays a key part in making that happen.

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 (Python) to process data for modeling
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets
• Experience in the data / BI space

Equal opportunity

Amazon is an equal opportunities employer. We believe that a diverse workforce is central to our success. We make recruiting decisions based on experience and skills. We value a passion to discover, invent, simplify and build. Protecting privacy and data security is a longstanding priority. Please refer to our Privacy Notice to understand how personal data of candidates is collected, used and transferred. If you have a disability and need a workplace accommodation during the application and hiring process, please visit the accommodations information page for more details. If your country / region isn’t listed, please contact your Recruiting Partner.