mid Data Analyst ic · Posted Jun 15, 2026

About this role

Amazon is hiring a mid-level Data Analyst based in Barcelona, Spain. The posting calls out experience with Data Modeling, Data Analytics.

Role
Data Analyst
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Barcelona, Spain
Department
Buying, Planning, & Instock Management
Posted
Jun 15, 2026
AI Summary
Develop insights from historical trends and data to support Amazon Logistics' EU labour planning strategy. Design scalable execution plans, drive cross-functional projects, and communicate findings to senior leadership. Requires deep expertise in last-mile delivery operations, strong analytical skills, and ability to solve ambiguous problems.

Job description

from Amazon careers
The goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible.

EU Labour Planning team is responsible to provide central guidance and projections for weekly planning input, translating the key strategic questions into projects and identifying requirements and relevant stakeholder groups. The Analyst - (Labour Planning) is responsible to develop insights from the historical trends, including reports and documents, share and interpret those learning with senior leadership. The Analyst is expected to actively explore and design scalable execution plans for long-term strategic planning opportunities and application of sound business judgement and identification of areas of opportunity within the process and the resulting plan. The Analyst is required to seek and deliver long-term improvement in the planning process by driving complex cross-functional projects.
To perform as a Analyst in the labour Planning team within AMZL EU, the individual must have deep domain expertise across multiple functions that comprise the last mile delivery operations. They balance short term needs and responses to local challenges with long term goals and ensure standardization across regions. They solve ambiguous problems with significant benefit to the business, selecting and identifying the best sources of data. They have high judgement, excellent analytical and creative mindset to invent solutions for the existing problems. They are passionate about getting insights from data by systematically breaking down highly complex and ambiguous problems with ease. They can communicate ideas effectively to achieve the right outcome for their stakeholders and customers. Also, they can influence stakeholders, peers and hold stakeholders accountable to the decisions made. They have confidence in engaging diverse groups of stakeholders to recommend solutions, and own the implementation.

This position requires high judgement, excellent analytical abilities and a creative mind to invent solutions to existing problems. It also offers broad exposure to various business, operational, financial, and technical teams across Amazon. If you are someone who is passionate about getting insights from data, who systematically breaks down highly complex and ambiguous problems with ease and who enjoys working on a fast paced environment, we would love to speak with you!

Key responsibilities:
· Provide central guidance and projections for weekly planning inputs
· Translate key strategic questions into projects, identifying requirements and relevant stakeholder groups
· Develop insights from the historical trends, including reports and documents, share and interpret those learning with senior leadership
· Actively explore and design scalable execution plans for long-term strategic planning opportunities

Basic Qualifications

- Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business
- Experience in business intelligence and analytics

Preferred Qualifications

- Experience leading cross-functional projects and managing large, complicated programs
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams

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.

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