At a Glance
- Tasks: Analyse complex datasets and build automated reports to drive planning decisions.
- Company: Join Amazon, a leader in customer-centric innovation and logistics.
- Benefits: Competitive salary, diverse work environment, and opportunities for growth.
- Other info: Collaborate with teams across Europe in a dynamic, inclusive culture.
- Why this job: Make an impact by leveraging data to enhance supply chain efficiency.
- Qualifications: Experience in SQL, advanced Excel skills, and a degree in a related field.
The predicted salary is between 60750 - 74250 £ per year.
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 Gen AI 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
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 ( https://www. amazon. jobs/en/privacy_page ) 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 https://amazon. jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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S&OP Analyst, EU Trans S&OP employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land S&OP Analyst, EU Trans S&OP
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We think you need these skills to ace S&OP Analyst, EU Trans S&OP
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Amazon
✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
