Data Analyst, External Fulfillment EU
Barcelona, Spain · San Fernando de Henares, SpainFull-timePosted Jul 20, 2026
The EU External Fulfillment Ops Excellence team is looking for a hands-on, detail oriented and highly motivated Data Analyst to help create data backed insights. The data analyst will be responsible to analyze data to support support programs, dig deep into data to determine root cause of defects, build and maintain decision support tools, and present findings to business partners. In addition the Data Analyst will also be responsible for maintaining key metrics for business reviews.
Key job responsibilities
- Assist in retrieving and aggregating data from multiple sources to support decision-making processes
- Help maintain and review KPIs on a daily, weekly, and monthly basis
- Support the EU External Fulfillment Network with basic data requests
- Contribute to data analysis that informs recommendations for EU EF Leadership
- Participate in data mining and basic problem-solving tasks
A day in the life
This position is office-based.
Every day is different in this role. The work you’ll conduct is both proactive and reactive, requiring you to analyse the capacity per truck for the transportation network and work quickly to resolve any operational issues. You will find improvement opportunities and implement them in the network. If you’re looking to develop your career, you’ll be able to access development and mentorship opportunities to help you progress at Amazon.
Based at one of our sites, you'll be where the action is and work in an environment that encourages collaboration with a variety of internal and external stakeholders. By tapping into the latest performance indicators and metrics, you'll help us unlock our network's full potential.
- Speak, write, and read fluently in English
- Proficiency in Microsoft Excel
- Problem solving experience
- Ability to work independently
- Experience with basic data analysis and reporting
- Knowledge of Amazon systems and processes
- Strong organizational skills
- Interest in learning new technical tools
- Basic understanding of data visualization concepts
- Ability to maintain attention to detail
- Good communication skills
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.
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.
Key job responsibilities
- Assist in retrieving and aggregating data from multiple sources to support decision-making processes
- Help maintain and review KPIs on a daily, weekly, and monthly basis
- Support the EU External Fulfillment Network with basic data requests
- Contribute to data analysis that informs recommendations for EU EF Leadership
- Participate in data mining and basic problem-solving tasks
A day in the life
This position is office-based.
Every day is different in this role. The work you’ll conduct is both proactive and reactive, requiring you to analyse the capacity per truck for the transportation network and work quickly to resolve any operational issues. You will find improvement opportunities and implement them in the network. If you’re looking to develop your career, you’ll be able to access development and mentorship opportunities to help you progress at Amazon.
Based at one of our sites, you'll be where the action is and work in an environment that encourages collaboration with a variety of internal and external stakeholders. By tapping into the latest performance indicators and metrics, you'll help us unlock our network's full potential.
Basic qualifications
- Experience in data analysis- Speak, write, and read fluently in English
- Proficiency in Microsoft Excel
Preferred qualifications
- Ability to work in a team environment- Problem solving experience
- Ability to work independently
- Experience with basic data analysis and reporting
- Knowledge of Amazon systems and processes
- Strong organizational skills
- Interest in learning new technical tools
- Basic understanding of data visualization concepts
- Ability to maintain attention to detail
- Good communication skills
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.
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.