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 ideal 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
AI & 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 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 equivalent qualification in Math, Engineering, Science or Business
Preferred Qualifications:
- Bachelor's degree or equivalent in a technical or analytical discipline
- Experience developing AI/ML models or automated workflows in production environments
- Experience with business intelligence and visualization tools (Tableau, QuickSight, Power BI, etc.)
- Experience with cloud platforms (AWS) and modern data infrastructure (Redshift, S3, etc.)
- Experience writing technical documentation, business requirements, and functional specifications
- Background in process automation, workflow optimization, or intelligent systems
- Experience working in agile/iterative development environments
- Track record of successfully deploying technical solutions that solve business problems
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