Process Analyst, EU Central Operations Analytics

Process Analyst, EU Central Operations Analytics Overview

Amazon Logistics is reshaping last-mile delivery through a Central Operations initiative that focuses on smarter route planning, scheduling, and delivery execution. In this role, you would join the EU Central Operations team and help drive the company’s AI-led transformation by combining operational understanding with technical delivery. The position sits at the intersection of operations, analytics, and automation, with a focus on solving complex forecasting and capacity challenges while building solutions that can be scaled across the network.

You would be expected to turn operational problems into automated, AI-supported solutions. That includes designing workflows, developing predictive models, creating decision-support tools, and using data to improve how delivery operations are planned and managed. The role is intended for someone who can work comfortably with business stakeholders and technical teams alike, translating needs into practical implementations that improve efficiency and reduce manual work.

What you would do

• Design and deliver automation solutions powered by AI to streamline operational processes and improve execution.
• Build machine learning models that support predictive analysis and smarter forecasting.
• Create decision-support tools that can be used across the network to guide operational choices.
• Develop workflows that reduce manual intervention while improving consistency and accuracy.
• Work with Data Science teams to move AI and machine learning solutions into live production use.
• Assess new AI technologies and determine how they can be applied to real business problems.
• Run diagnostic analysis to uncover inefficiencies and identify where automation can add value.
• Combine business rules with technical automation to produce practical process improvements.
• Analyze large and complex datasets using advanced analytical methods and AI techniques to generate useful insights.
• Partner with stakeholders to convert business needs into technical automation requirements and solutions.
• Improve routine operational tasks through process redesign and intelligent automation.
• Track and interpret key performance indicators using predictive methods to highlight trends and emerging issues.
• Use SQL, Python, or R to develop scalable analytical and automation solutions.
• Build dashboards with automated alerts and anomaly detection so teams can respond quickly to issues.
• Create automated data pipelines and ETL processes that support timely, real-time insight generation.
• Document repeatable analytical workflows and automation processes so they can be reused and scaled.
• Implement monitoring and validation controls to maintain data quality.
• Deploy code and automation solutions in line with software engineering best practices.
• Take ownership of AI and automation projects from initial idea through deployment and broader rollout.
• Make solution design decisions that balance business needs, technical feasibility, speed, quality, scalability, and available resources.
• Contribute both tactical and strategic thinking to prioritization and to the design of longer-term automation approaches.
• Work across Operations, Engineering, Data Science, and other technical groups to deliver shared outcomes.
• Explain technical concepts clearly to business audiences and help technical teams understand operational context.
• Present recommendations and solution proposals to leadership.
• Influence cross-functional partners to adopt automated approaches and work toward common goals.
• Share knowledge and support colleagues by mentoring them on both operational and technical aspects of the work.

Team and business context

Amazon Logistics manages the final stage of delivery in partnership with third-party distribution businesses. The Central Operations team is described as being at the center of Amazon Logistics’ AI transformation, building intelligent systems that improve how deliveries are planned, executed, and optimized. The broader aim is to make customer deliveries smoother through automated, data-driven solutions that can operate at scale.

This is a role for someone who enjoys solving difficult operational problems, working with data and automation, and helping shape how logistics operations evolve through AI and process improvement. The company highlights that the position offers strong growth potential as you deepen your knowledge of Amazon Logistics systems, AI and machine learning applications, and automation frameworks.

What the company is looking for

• A bachelor’s degree, or an equivalent qualification, in mathematics, engineering, science, or business.
• A bachelor’s degree, or equivalent, in a technical or analytical field is preferred.
• Strong experience with advanced SQL and with Python or R programming.
• Hands-on experience building AI/ML models or automated workflows in a production environment.
• Experience using business intelligence and visualization tools such as Tableau, QuickSight, or Power BI.
• Experience with AWS or similar cloud platforms, along with modern data infrastructure such as Redshift and S3.
• Ability to produce technical documentation, business requirements, and functional specifications.
• Experience in process automation, workflow optimization, or intelligent systems.
• Experience working in agile or iterative development settings.
• A track record of delivering technical solutions that address business needs.
• Strong analytical ability and comfort working through complex operational challenges.
• Excellent communication skills and the ability to work across both business and technical audiences.
• Interest in AI-driven process improvement and in applying emerging technologies to operational problems.
• Ability to combine short-term delivery with longer-term strategic thinking.

Additional information

The posting includes Amazon’s standard equal opportunity and privacy statements, along with information about disability accommodations during the hiring process. If an applicant needs support during application, interview, or onboarding, Amazon directs candidates to its accommodations information page and asks applicants in countries or regions not listed there to contact their recruiting partner.

The job is listed for Dunstable in Great Britain, within Supply Chain / Transport Management. The posting does not describe a remote or hybrid arrangement.

Degree Requirement: Not Specified

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