Transportation Systems Analyst

Publiée le 13/05/2022

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Amazon


Temps de travail
Type de contrat
Langues parlées
EN
Niveau d'étude

Have you ever ordered a product on Amazon and when that box-with-the-smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer’s doorsteps? If so, Amazon’s Trans Systems Analytics (TSA) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solve anomalies in systems and their behavior to achieve business goals.

We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Transportation Systems Analyst to innovate and enhance our outbound network optimization and management products. You will use data and critical thinking to drive alignment across senior leaders across organizations on your product vision and drive product roadmaps based on entitlement and automation benefits. This role is high visibility and cuts across all business functions.


This role might be for you if:


  • You possess strong business acumen with strategic, analytical, and critical thinking
  • You understand technical software development life cycle and have experience to drive research teams towards business solutions
  • You drive strategic product communications across organizations providing clarity in decisions
  • You have experience to develop scalable business intelligence solutions


Key job responsibilities


Sr. Transportation Systems analyst is responsible for identifying delivery accuracy, speed and cost improvement opportunities that pertains to the interaction between our promise, planning and fulfillment execution systems. It requires advanced analytical and Business Intelligence Engineering (BIE), a deep knowledge of the EU operations and complex inter-related fulfillment systems, as well as the ability to act as a technology leader and influence across functions. They will be the go-to person within the EU operations to play a leading role in technology driven and analytically derived solutions to optimize the European Fulfillment Network at scale.


A day in the life


In this job, you will:

  • Develop hands-on expertise of Amazon’s data resources, analytical and simulation tools
  • Work with Senior Engineers and Research Scientists across multiple teams and develop a broad deep knowledge of Amazon’s Supply Chain Optimization Technology
  • Provide quantitative and qualitative analysis on a daily basis, root causing key performance indicators, ahead of WBRs.
  • Drive strategic upward product communications (e.g., decision narratives, investment proposals) internally or externally in multiple organizations
  • Harmonize discordant views to find the best way forward and avoid being stuck in “analysis paralysis”.
  • Mentor more junior analysts, improving their data mining skills and ultimately, ability to deliver results.


Basic Qualifications:


  • Bachelor degree in Business Analytics, Computer Science, Statistics, Applied Mathematics, Engineering, or related fields.
  • 1 to 3 years of professional experience in analytics or engineering or product management
  • Demonstrated experience in influencing, negotiating, and collaborating across multiple senior leadership teams in a large organization
  • Excellent problem-solving, organizational and analytical skills, with the ability to evolve product strategy based on research, data, and industry trends
  • Exceptional written and verbal communication skills with the ability to present complex data and information in a clear and concise manner to a variety of audiences, including executives and technical/non-technical leaders
  • Strong data analysis skills, with the ability to run and synthesize data in order to make on-point business decisions.
  • Proficient at least in one of the data analytics programming languages - SQL, Python, Java, AWS


Preferred Qualifications:


  • Master’s Degree in Business Analytics, Computer Science, Statistics, Applied Mathematics, Engineering, or related fields Experience working with Software Development Engineers to develop technical solutions to operational problems
  • Experience in data visualization platforms e.g., Tableau, QlikView, QlikSense and PowerBI
  • AWS or Programming Languages: Python and implementation of ETL tools and experience with frameworks is desired
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