S&OP Analyst, EU AMZL S&OP, Amazon Logistics, Amazon Logistics

Amazon; Milano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A global e-commerce leader in Milano is seeking an experienced Business Analyst to improve efficiencies in their Hub Delivery program. The ideal candidate will possess strong analytical skills and experience with data visualization, aiming to optimize delivery processes and stakeholder collaboration. This role demands 5 years of relevant experience and proficiency in tools like Excel, SQL, Tableau, or similar.

Competenze

• 5 years of experience in analytical roles related to supply chain planning.
• Experience leading cross-functional projects.
• Ability to influence without direct authority.

Mansioni

• Manage volume allocation and flow to partners.
• Drive alignment across metrics through joint projects.
• Develop automation for ongoing reporting.

Conoscenze

Data analysis

Business acumen

Analytical abilities

Project management

Logistics

Formazione

Degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems

Strumenti

Excel

SQL

Tableau

Power BI

Python

R

Descrizione del lavoro

At Amazon we are working to be the most customer‑centric company on earth and we are striving to provide best‑in‑class delivery services. Our goal is to ensure that all customers no matter where they live can get their orders as quickly, accurately and cost effectively as possible.

Our last‑mile team is looking for a customer focused and analytically skilled business analyst to join our team. This person will be responsible for bringing efficiencies and reducing costs using data analysis and visualization tools and processes to support our growing Hub Delivery program business in Europe. Amazon Hub Delivery allows local small businesses to partner with Amazon to provide flexible and cost‑effective delivery service to delight customers globally. This is an emerging Amazon Logistics (AMZL) delivery channel and is on an exponential growth trajectory globally.

The successful candidate will be able to work with technical and Hub delivery teams to optimise planning execution process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self‑starter comfortable with ambiguity with strong attention to detail and enjoying working with large scale of data.

Key job responsibilities

• Responsible for managing volume allocation and flow to the partners and their jurisdiction
• Responsible for driving alignment across all Amazon mila to work towards metric improvements through joint projects and goals.
• Develop automation and visualisations for ad‑hoc requests and projects as well as ongoing reporting.

About the team

Were an S&OP team supporting the Southeast Europe (SEU) region. Our work involves daily collaboration with operations stakeholders supply chain functions finance teams and BI groups to develop reliable forecast recommendations. Our team members come from different backgrounds and nationalities and we work across four corporate offices. Were focused on three main things: making sense of data and explaining it clearly building solid relationships with our stakeholders and enjoying what we do. If you like working with data and people and want to be part of a friendly results‑driven team wed love to hear from you.

Qualifications

• Degree in Engineering Statistics Computer Science Operations Research Business Analytics Information Systems or related field.
• Prior experience of performance metrics process improvement or lean techniques experience. Experience using data and metrics to determine and drive improvements.
• Relevant experience with Excel (Pivot Tables VLookUps).
• SQL Experience defining program requirements and using data and metrics to determine improvements.
• Ability to exercise influence without direct authority.
• Process improvements experience.
• 5 years of experience in supply chain planning demand planning or related analytical roles.
• Experience with advanced analytics tools (Python R or similar) and business Intelligence platforms (Tableau Power BI).
• Knowledge of machine learning applications in supply chain.
• Experience leading cross‑functional projects and stakeholder management.

Key Skills

Shipping & Receiving,Inventory Control,Data Entry,AS400,Transportation Management Systems,EDI,Microsoft Outlook,Warehouse Experience,Office Experience,Dispatching,Microsoft Excel,Logistics

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