As a Sales & Operations Planning (S&OP) Analyst at Amazon, you’ll be an expert in deep diving into our business data and presenting it in a clear, useful way. You’ll use it to help teams across our logistics function make lasting improvements and remain ambitious and inventive. This role will give you plenty of opportunities to learn, grow and use your expertise to drive efficiency across Amazon.

Key job responsibilities
Analyse data around KPIs to generate forward looking plans to present to senior stakeholders in the Operations business
Build visualisation tools and dashboards to analyse and create reports for your team to drive action around KPIs
Look at the root cause of customer feedback and help your team make data-backed plans on how to avoid related issues
Create or improve internal dashboards that give your colleagues better visibility of task-related data

A day in the life
Every day is a little different in this role. Using your data analysis skills, you’ll explore and translate data into simple, visual forms to help your team and the wider business cut costs and address customer concerns.
As an S&OP Analyst, you’ll use your business acumen and analytic skills to help your team achieve their objectives. You’ll use data to illustrate problems and share your opinion and ideas to help find solutions. The pace of change is quick here, and this means that you keep learning every day in an environment where curiosity is always welcomed. Your opinion always counts and there’s no such thing as a silly question at Amazon.

Basic Qualifications

• Bachelor's degree

Preferred Qualifications

• Experience in project management
• Bachelor's degree or above in Computer Science, Engineering, or related fields
• Knowledge of a modern programming language (Ruby, Java, Python, or C#)
• Experience in external enterprise customer-facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences
• Experience communicating complex ideas to technical and non-technical audiences
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

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.

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