Lead Data Analyst, Supply Chain, Long-Term Planning

AI in this role

Lead long-term transportation and inventory planning using data analytics, AI techniques, and stakeholder management to optimize supply chain performance.

sql

supply-chaindata-analysisproject-managementstakeholder-management

Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.

Key job responsibilities
You will be responsible for steering our long-term transportation and inventory planning to deliver end-to-end benefits (speed, cost, sustainability). This is a role for an exceptionally talented person, with high energy and courage, passionate about delivering concrete improvement for our customers, and that want to achieve that using data.
The role includes 50% of analytical activities management and 50% project/stakeholder management.

Innovation & Stakeholder/Project management
- Use and share your insights with partner teams, to influence/build a roadmap of project to accelerate speed of deliveries in your country
- For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business case with benefits, bottlenecks, risks and resources required
- Build strong analytics tools to highlight defects and extract actionable insights from our end-to-end supply chain
- Lead regular business review with partner teams to monitor the progress of projects in the roadmap. Help into removing bottlenecks
- Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (directors and VPs).

Data Analytics/Science
- Deep dive complex data to uncover actionable insights for known and unknown problems
- Good expertise with AI and SQL techniques

About the team
The team: Long Term Planning
- Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.
- The Supply Chain, Transportation Planning & Operational Excellence (EU STEP) is an organization responsible for the end-to-end flow of goods from our vendors and sellers to Amazon customers all over Europe, in order to ensure a speedy and reliable customer delivery in the cheapest way possible.
- Long Term Planning analytical teams are transversal centers of expertise, composed of engineers, analysts, and scientists. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, finance and retail teams across the world, to improve our logistic infrastructure. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster.

Basic qualifications

- Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience in an analytical field, supply chain or consulting firm
- Ability to lead and structure projects, in particular liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities
- Strong oral and written communication skills are crucial, in particular the ability to synthetize clearly complex issues

Preferred qualifications

- Master's degree or equivalent qualification in Math, Engineering, Science or Business

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

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

Lead Data Analyst, Supply Chain, Long-Term Planning at Amazon rates 40 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.

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 ChainData AnalysisProject ManagementStakeholder ManagementSQL

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 data analysis was part of your work. What did you do?
Tell me about a project where project management 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?
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, Data Analysis, Project Management, Stakeholder Management, 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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