Amazon Logistics (AMZL) is transforming the future of last-mile delivery through Central Operations a strategic initiative thats revolutionizing how we approach route planning scheduling and delivery execution. We are seeking a Process Analyst to join our EU Central Operations team where youll 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 AMZLs AI transformation. Youll 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.
Youll 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 youll create intelligent dashboards predictive models and automated reporting systems that enable proactive decision-making and help avoid in-station volume risks.
Youll 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. Youll 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 youre 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 AMZLs 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.
- Bachelors degree or equivalent qualification in Math Engineering Science or Business
- Bachelors 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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