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S&OP Analyst, EU Trans S&OP

Amazon


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 15 September 2026 (3 hours ago)
Application Deadline: 13 December 2026
Vacancies: 1 Vacancy

Job Summary

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.

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

- 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
- Masters degree or MBA in management business administration economics engineering marketing

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC


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