Process Analyst, EU Central Operations AnalyticsJob ID: 10428244 | Amazon Road Transport Spain, S.L.U.Amazon Logistics (AMZL) is transforming the future of last-mile delivery through Central Operations, a strategic initiative that revolutionizes route planning, scheduling, and delivery execution. We are seeking a Process Analyst to join our EU Central Operations team, where you will play a pivotal role in driving AI‑powered automation and enhancing delivery network operations through advanced analytics and intelligent process improvements.This role combines deep business operations knowledge with hands‑on technical implementation, positioning you at the forefront of AMZL's AI transformation. You will 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.Responsibilities include architecting and implementing automated workflows, machine‑learning models, and intelligent decision‑support systems that transform how we operate. You will translate operational challenges into automated solutions, leveraging AI/ML capabilities to drive efficiency at scale, and use advanced SQL, Python/R programming, and emerging AI technologies to create dashboards, predictive models, and automated reporting systems.Key Job ResponsibilitiesAI & Automation Development- 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 challengesAnalysis & 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 trendsTechnical 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 practicesProject 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 resourcesStakeholder 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 functionsQualificationsBasic 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 stakeholdersPreferred 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 problemsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.Posted: May 21, 2026 (Updated 4 days ago)#J-18808-Ljbffr