Process Improvement Specialist, AMXL Supply Chain
Amazon is hiring a Process Improvement Specialist, AMXL Supply Chain in Barcelona, Spain. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions supply chain, program management and process improvement among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Drive process improvement initiatives, monitor performance metrics, and scale heavy bulky supply chain operations across EU markets.
Key job responsibilities
-Launch programs, monitor performance metrics, and report on the status of key objectives that affect deliverables
-Use data to understand operational challenges and create continuous improvement initiatives
-Work with a variety of other Amazon departments to identify and leverage best practices
-Within a program environment, lead a multidisciplinary team in overcoming challenges and drive progress
-Manage stakeholders and internal processes, and define standards
A day in the life
Your morning begins with reviewing FBA Heavy Bulky performance metrics and preparing leadership narratives for Weekly, Monthly and Quarterly Business Reviews. Throughout the day, you collaborate with a diverse set of stakeholders — including the FBA business team, technology partners, and operations — to drive alignment and unblock priorities. Every day blends strategy, data, and execution across multiple EU markets. You will develop and refine execution plans, shape growth strategies with senior leadership, and conduct deep dives into seller escalations to identify root causes and drive resolution.
About the team
AMXL is Amazon's first true end-to-end organization for extra-large items, with visibility and impact across every mile of the customer journey. From the moment an order is placed to final delivery, our team orchestrates the complex logistics of getting bulky items to customers efficiently.
Our team culture thrives on knowledge sharing, mutual support, and continuous learning. We tackle unique challenges in the large-item space, innovating solutions that haven't been solved elsewhere. You'll work alongside passionate professionals who are committed to improving operations while supporting each other's growth and development.
Basic qualifications
- Bachelor's degree or equivalent qualification in supply chain management, engineering, business management or other relevant field
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience defining program requirements and using data and metrics to drive improvements
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI
Preferred qualifications
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL
- Experience solving complex problems quantitatively and develop actionable data-driven business recommendations
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience in building financial and operational reports/data sets that inform business decision-making, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
- Experience with financial or business analysis
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.
How we rate this
Process Improvement Specialist, AMXL Supply Chain at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where supply chain was part of your work. What did you do?
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where process improvement was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Supply Chain, Program Management, Process Improvement, Stakeholder Management, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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