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Senior Supply Chain Analyst, Supply Chain Outbound Execution

Amazon Europe
Localisation:
Luxembourg
Salaire:
not communicated
Dernière mise à jour:
dimanche 5 mai 2024
Type de contrat:
CDI
Temps de travail:
Temps plein
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Description de poste

DESCRIPTION

We are looking for an outstandingly talented, analytical, driven, experienced Senior Supply Chain Analyst that can excel both at an operational level and at driving strategic initiatives with senior management. As a Senior Analyst, you will own the validation of the Erasmus forecast which is an Origin-Destination forecast that is used in the planning of middle and last mile transportation capacity. This means that at an operational level, you are responsible for the development of a capacity feasible plan requiring alignment across different stakeholders (Analytics, S&OP, GTS Network Planning, ATS Sort Center team). At strategic level, you will be responsible for driving operational improvement and change initiatives in collaboration with multiple stakeholders and in alignment with senior management.

This is a highly visible position, based out of our European headquarters in Luxembourg, critical to the company's operations and forward capability as we continue the fast-paced growth and scale-up of our fulfillment network.

The Continental Europe (CEU: Germany, Poland, France, Italy, Spain) Supply Chain team works closely with Amazon’s Fulfillment Centers (FCs), Transportation, Retail and Finance teams, orchestrating the upstream and downstream partners to exceed customer expectations while optimizing end-to-end supply chain speed and cost.


Key job responsibilities

  • Key member of the CEU S&OP and Execution team managing the Erasmus weekly forecast.
  • Run the full weekly Erasmus planning process:
  • Validate the volatile inputs that feed into Erasmus.
  • Align with Middle and Last Mile transportation stakeholders to ensure a feasible plan.
  • Integrate known future events and constraint management into a weekly planning process routine
  • Set and deliver goals relating to forecast accuracy and process timelines.
  • Build a root cause bridge of forecast deviations at weekly/daily level
  • Define the playbook outlining levers (and their entitlement) to steer actuals towards the forecast.
  • Drive strategic operational (e.g. process, tools, etc.) and development initiatives. This implies being the bridge between business and tech teams, translating functional needs into technical requirements.
  • Present operational and project updates to senior management via WBR.

 

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

 

BASIC QUALIFICATIONS

  • Completed Bachelor’s, preferably Master's Degree from an accredited university
  • Experience in planning, forecasting and/or Supply Chain
  • Strong data analysis skills, ability to produce, interpret and draw conclusions from data
  • Strong proficiency in Microsoft Excel and SQL
  • Experience of dealing with results, metrics and data management and desire to create and build new processes
  • Must be an independent problem solver that can make high quality judgments and decisions quickly with excellent organization skills
  • Excellent written, verbal, listening, communicating, and negotiating skills coupled with ability to comfortably and confidently present to all levels within the enterprise is required

 

PREFERRED QUALIFICATIONS

  • Previous experience in a similar role / relevant work experience will help you to get started faster but is not a requirement
  • Knowledge of R / Python / any data analytics tool is a plus

 

 

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.


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