Amazon Logistics (AMZL) is transforming the future of last-mile delivery through Central Operations, a strategic initiative that's revolutionizing how we approach route planning, scheduling, and delivery execution. We are seeking a Process Analyst to join our EU Central Operations team, where you'll play a pivotal role in driving AI-powered automation and enhancing our delivery network operations through advanced analytics and intelligent process improvements.

Description Amazon Logistics (AMZL) is transforming the future of last-mile delivery through Central Operations, a strategic initiative that's revolutionizing how we approach route planning, scheduling, and delivery execution. We are seeking a Process Analyst to join our EU Central Operations team, where you'll play a pivotal role in driving AI-powered automation and enhancing our delivery network operations through advanced analytics and intelligent process improvements.

This role uniquely combines deep business operations knowledge with hands‑on technical implementation, positioning you at the forefront of AMZL's AI transformation. You'll work at the intersection of operations, analytics, and automation, focusing on complex analytical problems that impact our intra‑week forecasting and capacity management processes while developing and deploying AI‑driven solutions that scale across our network. You'll have the opportunity to architect and implement automated workflows, machine learning models, and intelligent decision‑support systems that transform how we operate.

Your dual expertise in business operations and technical execution will be essential as you translate operational challenges into automated solutions, leveraging AI/ML capabilities to drive efficiency at scale. Using advanced SQL, Python/R programming, and emerging AI technologies, you'll create intelligent dashboards, predictive models, and automated reporting systems that enable proactive decision‑making and help avoid in‑station volume risks. You'll partner with cross‑functional teams including Operations, Data Science, and Engineering to develop and deploy automation solutions that streamline processes and implement AI‑powered improvements.

This position requires someone who can speak both the language of business operations and technical implementation, bridging the gap between operational needs and technical possibilities. This position offers exceptional growth opportunities as you develop expertise in AMZL systems, AI/ML applications, and automation frameworks. You'll learn to balance tactical execution with strategic thinking while contributing to the scaling of Central Operations through intelligent automation.





Your ability to translate data into actionable insights and automated solutions will be crucial in driving continuous improvement in our last‑mile delivery network. The adecuado candidate will combine strong technical and analytical skills with deep operational understanding, excellent communication abilities, and a passion for AI‑driven process improvement. If you're excited about solving complex operational challenges through automation and contributing to the AI transformation of logistics operations, we want to hear from you.

Key job responsibilities

Design and implement AI‑powered automation solutions to streamline operational processes

Develop machine learning models for predictive analytics and intelligent forecasting

Build automated decision‑support systems that scale across the network

Create intelligent workflows that reduce manual intervention and improve accuracy

Partner with Data Science teams to deploy AI/ML solutions into production

Evaluate and integrate emerging AI technologies to solve business challenges

Analysis & Process Improvement

Develop diagnostic analyses to identify automation opportunities and operational inefficiencies

Design and implement solutions that combine business logic with technical automation

Analyze complex data sets using advanced analytics and AI techniques to generate insights

Partner with stakeholders to translate business requirements into automated technical solutions

Optimize daily operational tasks through intelligent automation and process redesign

Monitor and analyze key performance metrics using predictive analytics to identify trends

Technical Execution & Implementation

Apply advanced SQL, Python/R programming to build scalable analytical solutions

Create and maintain intelligent dashboards with automated alerting and anomaly detection

Develop automated data pipelines and ETL processes for real‑time insights

Build and document repeatable, automated analytical processes and workflows

Implement data quality monitoring systems with automated validation

Deploy code and automation solutions following software development best practices

Project Management & Strategic Thinking

Lead AI/automation projects from conception through deployment and scaling

Balance business requirements with technical feasibility in solution design

Design both tactical solutions and long‑term strategic automation approaches

Provide technical and business input on prioritization and identify synergies between initiatives

Manage tradeoffs between speed, quality, scalability,



and resources

Stakeholder Partnership & Knowledge Transfer

Partner with Operations, Engineering, Data Science, and technical teams

Translate complex technical concepts for business stakeholders and vice versa

Present AI/automation solutions and recommendations to leadership

Influence cross‑functional teams to adopt automated solutions and meet shared goals

Mentor team members on both business operations and technical implementation

Build effective working relationships across business and technical functions A day in the life About The Team Amazon Logistics, or AMZL, handles 'last mile' delivery duties in partnership with third‑party distribution businesses. We utilize creative thinking, continuous improvement initiatives, and innovative AI/automation technologies to get millions of physical products into the hands of our customers.

Our Central

Operations team is at the forefront of AMZL's AI transformation, developing intelligent systems that revolutionize how we plan, execute, and optimize deliveries. Our goal is to make our customers' delivery experience as smooth as possible through automated, data‑driven solutions that scale globally.

Basic Qualifications

Bachelor's degree, or Master's degree in supply chain, business, engineering, finance or related technical or quantitative field

Experience managing projects

Experience using Excel and data analysis

Experience working with multiple groups of stakeholders

Preferred Qualifications

Experience developing AI/ML models or automated workflows in production environments

Experience working in agile/iterative development environments

Track record of successfully deploying technical solutions that solve business problems

Amazon is an equal opportunities 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.

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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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Road Transport Spain, S.L.U.

Job ID: A10428244

📌 Process Analyst, EU Central Operations Analytics (Madrid)
🏢 Amazon
📍 Madrid