Analyst, Middle Mile Planning, LTP MM Analytics

AI in this role

Analyst responsible for long-term middle mile network planning, modeling, and supply chain optimization at Amazon.

sql

supply-chainnetwork-planningdata-modelingstakeholder-managementlogistics

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

As an analyst in the Long Term Planning (LTP) - Middle Mile Analytics team, you will be responsible for creating robust and explainable plans which determine the future of Amazon’s outbound Middle Mile (MM) network in Europe. We use modeling and analysis to project MM flows and KPIs for a 1 to 3+ year time horizon, driving decisions on savings initiatives, network connectivity, productivity and Sort Center topology. We operate in a cross-functional environment, planning alongside other miles and interacting closely with partners across finance, SCOT, ATS and STEP network design teams.

This is a highly visible position that requires interacting with multiple business teams, collaborating with tech teams, and interaction with senior leaders. The role requires a deep understanding of the end-to-end supply chain of Amazon and the ability to simplify it into explainable plans. The day to day activities consist of approximately 30% stakeholder/project management and 70% analytical activities.

Key job responsibilities
* Collecting and auditing model inputs, working with external stakeholders to understand the reasons for changes
* Running and configuring analytical models to produce network plans
* Auditing model outputs to ensure quality and explainability of plans
* Solving new and ambiguous planning problems as they arise; sometimes under time pressure
* Contributing to the documentation and presentation of modeling results
* Contributing to the continuous improvement of planning models and processes, working with TPMs and BIEs

About the team
- 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 a team 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 - Transformation Programs team is focused on delivering the most critical cross-functional initiatives and finding solutions to lower Amazon cost-to-serve. We work with operations teams, Retail and FBA, finance, tech teams to improve our ability to serve customers with faster speed and at lower cost.

Basic qualifications

- Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience with Excel
- Relevant experience in analysing data and creating reports for leadership
- Relevant experience in managing multiple projects with competing deadlines

Preferred qualifications

- Experience in requirement gathering and ability to write clear and detailed requirement document
- Knowledge of SQL
- Master's degree in supply chain, business, engineering, finance or related technical or quantitative field
- Experience in supply chain

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

Analyst, Middle Mile Planning, LTP MM Analytics 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.

Classification

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. 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 ChainNetwork PlanningData ModelingStakeholder ManagementLogisticsSQL

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 network planning was part of your work. What did you do?
Tell me about a project where data modeling 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 logistics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Supply Chain, Network Planning, Data Modeling, Stakeholder Management, and Logistics. 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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