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 an important role in enhancing our delivery network operations through data-driven insights and process improvements.

In this role, you'll work at the intersection of operations and analytics, focusing on difficult analytical problems that impact our intra-week forecasting and capacity management processes. You'll partner with cross-functional teams to develop and implement solutions that drive operational efficiency, while learning to design longer-term strategic approaches to complex challenges.

You'll have the opportunity to work on multiple projects, applying your analytical expertise to generate insights that influence business decisions. Using your advanced SQL, programmling and analytical capabilities, you'll create dashboards and reports that enable quick operational decisions and help avoid in-station volume risks. You'll partner with various stakeholders including Operations and technical teams to streamline processes and implement improvements.

This position offers excellent growth opportunities as you develop your expertise in AMZL systems and processes. You'll learn to balance tactical execution with strategic thinking, while contributing to the scaling of Central Operations. Your ability to translate data into actionable insights will be crucial in driving continuous improvement in our last-mile delivery network.

The ideal candidate will combine strong technical and analytical skills with excellent communication abilities and a passion for process improvement. If you're excited about solving complex operational challenges and contributing to the transformation of logistics operations, we want to hear from you.

Key job responsibilities

Analysis & Process Improvement:

• Develop diagnostic analyses to identify operational inefficiencies and improvement opportunities
• Design and implement solutions to automate processes and support decisions
• Analyze complex data sets to generate insights that drive business decisions
• Partner with stakeholders to streamline business processes and drive efficiencies
• Optimize daily operational tasks to enhance team productivity
• Monitor and analyze key performance metrics to identify trends and opportunities

Technical Execution:

• Apply advanced SQL queries to extract and analyze data from multiple sources
• Create and maintain dashboards for operational visibility and decision making
• Apply difficult transformations within spreadsheets and analytical tools
• Develop and document repeatable analytical processes
• Validate data quality and flag issues to upstream owners

Project Management:

• Work on one or more projects to drive decisions and actions
• Provide input on prioritization and proactively identify connections between requests
• Design short-term solutions while learning to develop strategic approaches
• Balance tradeoffs between time, quality, and resources

Stakeholder Partnership:

• Partner with SME teams, Operations, and other technical teams
• Influence other teams to meet shared goals
• Present analyses and recommendations to leadership
• Build effective working relationships across functions
• Begin to mentor junior team members

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 utilise creative thinking and continuous improvement initiatives to get millions of physical products into the hands of our customers. Our goal is to make our customers’ delivery experience as smooth as possible and roll out global delivery solutions

Basic Qualifications

• Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business

Preferred Qualifications

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

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