Process Improvement Specialist II, Long-Term Planning

Amazon is hiring a Process Improvement Specialist II, Long-Term Planning. Level rates it ; you can apply on Level.

AI in this role

Optimize European supply chain network strategy using data analysis, SQL, and generative AI tools.

sqlgenerative-ai

supply-chainprocess-improvementdata-visualizationstatistical-modeling

Are you energized by turning complex supply chain data into decisions that customers feel at their doorstep? We are looking for a curious, data-driven Process Improvement Specialist to join our Long Term Planning team and steer First Mile network strategy across our European delivery network. Your analysis — built on SQL, statistical methods, data visualization, and generative AI — will directly support capital investment decisions (where and when to add fulfillment center capacity, retrofits, and building design) as well as operational decisions around staffing strategy and under-the-roof productivity.

This is a particularly exciting time to join: the team is actively integrating Same Day delivery into our First Mile topology strategy, opening up new problems to solve and new impact to drive. You will split your time between analytical work (roughly 75%) and cross-functional project management (roughly 25%), working with senior leaders on high-stakes recommendations that shape how we move goods across Europe.

Key job responsibilities
- Analyze First Mile network capacity, flow, and cost data using SQL, statistical modeling, and data visualization to build recommendations that inform capital and operational investment trade-offs across the European delivery network.
- Collaborate with partner teams to influence and maintain a roadmap of First Mile improvement projects, launching pilots for the most complex opportunities and building scale-up business cases that quantify benefits, risks, and required resources.
- Design and maintain analytics tools and dashboards — applying generative AI where it accelerates insight — to surface defects, track process performance, and extract actionable findings from pickup through fulfillment center injection.
- Lead regular business reviews with cross-functional stakeholders to monitor project progress, identify and remove bottlenecks, and drive alignment on priorities.
- Consolidate findings into concise, data-driven status updates and present recommendations to senior leadership, managing stakeholder expectations and adapting communication to your audience.

A day in the life
Imagine we need to decide whether a new fulfillment center in one region versus another best unlocks faster delivery for customers. You would own that question end to end: form a defensible first answer from existing data, pinpoint the injection volumes, line-haul lanes, and sortation readiness data that would confirm or challenge it, then quantify the speed benefit against capital and operating costs. You bring transportation, fulfillment center operations, and last-mile partners along as you work, and package everything into a clear recommendation for senior leadership. The expectation is a sound, numbers-backed decision in days — set up to refresh quickly and scale — not a perfect answer in a month.

About the team
Our Long Term Planning team sits within Amazon's European operations organization and is responsible for tackling the most complex supply chain problems and decisions. We are a group of engineers, analysts, and scientists who work across fulfillment centers, transportation, finance, and retail teams to continuously improve how goods move from vendors and sellers to customers throughout Europe.

Because the decisions you support carry significant capital weight, you will have regular exposure to senior leadership — an environment that sharpens your communication skills and professional confidence. We are an inclusive, collaborative team that values rigorous analysis and practical problem-solving as we rethink our end-to-end supply chain to make deliveries even faster.

Basic qualifications

- Bachelor's degree or equivalent qualification in Engineering, Supply Chain, Economics or Business Administration
- Experience in analytical tasks or projects, working with data
- Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business
- Experience making strategic business decisions and managing internal relationships, or experience in a finance role leading a project or program and partnering with multiple stakeholders within a business
- Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner

Preferred qualifications

- Master's degree in mathematics, engineering, statistics, computer science, business administration or a related field
- Experience working in a fast-paced and ambiguous environment

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 II, Long-Term Planning at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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. Open the description and count.

Key facts

Process Improvement Specialist II, Long-Term Planning is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in LU, Luxembourg.
The job was posted on October 7, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Supply ChainProcess ImprovementData VisualizationStatistical ModelingSQLGenerative AI

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 process improvement was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Supply Chain, Process Improvement, Data Visualization, Statistical Modeling, and SQL. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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