S&OP Analyst, EU Trans S&OP

Amazon; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Amazon UK Services Ltd. is seeking an analytically driven Analyst to own end-to-end data problems in EU demand forecasting and planning. You will query large-scale datasets, generate insights for planning decisions, and build automated reports and pipelines that scale across the EU network.

The role collaborates with EU-wide stakeholders across planning, operations and analytics, developing tools that automate repetitive work and leverage GenAI to accelerate analysis.

Qualifications

• Experience writing complex SQL queries.
• Advanced Excel skills.
• Experience in a business analyst, data analyst or equivalent role.
• Bachelor's degree or above in business/finance/economics/CS/Data Science/engineering or related field.

Responsibilities

• Analyse complex supply chain and logistics datasets to identify trends and inform planning decisions.
• Translate findings into actionable recommendations for senior leadership.
• Design and build automated reports, dashboards, and data pipelines for self-serve analyses.
• Develop production tools and ETL pipelines to replace manual processes with automated solutions.
• Support demand forecasting and capacity planning with quantitative analysis and reports/tools.
• Become SME on internal tools and drive data-quality improvements.

Skills

SQL

Advanced Excel

Data analysis

Business analysis

Education

Bachelor's degree in business administration/finance/economics/computer science/data science/engineering

Tools

Python

MS Power Query

ETL pipelines

Job description

Job ID: 10538509 | Amazon UK Services Ltd.

This role can be available in London, Barcelona or Luxembourg.

At Amazon, we are working to be the most customer-centric company on earth. The Amazon Transportation network is building a world class middle and last mile operation, exceeding our customers' expectations by ensuring their orders are delivered as quickly, accurately, and cost effectively as possible.

The EU Demand Forecasting and Planning team is looking for an analytically driven Analyst with a passion for data and a strong automation mindset. This role sits at the intersection of business analysis and data analytics: you will own complex analytical problems end to end, from querying large-scale supply chain and logistics databases, through generating insights that influence planning decisions, to building the automated reports and tools that make those insights repeatable and scalable across the EU network.

You will work closely with EU-wide stakeholders, both senior leaders and peers, across planning, operations, and analytics functions. This is a role for someone who is as comfortable conducting a deep dive into demand patterns as they are building the automated pipeline that delivers that analysis daily without manual intervention.

Key job responsibilities

• Analyse complex supply chain and logistics datasets to identify trends, surface patterns, and conduct root cause deep dives that inform planning decisions.
• Translate analytical findings into clear, actionable recommendations for senior leadership and cross-functional partners.
• Design and build automated reports, dashboards, and data pipelines that make recurring analyses self-serve and scalable across EU.
• Develop production tools, websites, and ETL pipelines that replace manual processes with reliable, repeatable solutions.
• Support demand forecasting and capacity planning cycles with quantitative analysis and reports/tools.
• Become the subject matter expert on internal tools and systems, driving improvements in data quality, methodology, and analytical best practices.
• Leverage AI and GenAI to accelerate analysis, automate repetitive work, and uncover insights at scale.
• Collaborate with EU-wide stakeholders across multiple functions and countries to scope analytical questions and deliver data driven answers.

Basic Qualifications

• Experience writing complex SQL queries
• Knowledge of Excel at an advanced level
• Experience in a business analyst, data analyst or equivalent role
• Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field

Preferred Qualifications

• Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
• Experience with explainable machine learning and artificial intelligence methodologies and tools
• Master's degree, or MBA in management, business administration, economics, engineering, marketing

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