• EU Supply Chain Senior Analyst

    Location LU-Luxembourg
    Posted Date 5 months ago(29/06/2018 9:34)
    Job ID
    Amazon EU SARL
    Company/Location (search) : Country (Full Name)
  • Job Description

    External Job Description
    Have you ever ordered a product on Amazon websites and when the box arrived wondered how you got it so fast, how much it would have cost Amazon, and what kinds of systems & processes must be running behind the scenes to power the whole operation? If so, the EU Supply Chain Control & Analytics team is for you.

    Amazon seeks a passionate, results-oriented, data and analytic engineer to join our European Supply Chain Department in Luxembourg. You will be responsible to optimize our complex and expanding United Kingdom Fulfillment Network. Do you think you are up to the challenge?

    Our overall mission is simple: we want Amazon to be the place where our customers can find and buy anything online. With your help, Amazon will continue to expand its operations and implement innovation. Our motto: have fun, work hard, make history. This is your chance to do all three.

    Your responsibilities include:
    · Identify the biggest opportunities to optimize customer shipments (delivery accuracy, speed & cost).
    · Lead complex analysis, develop models and reports to drive key strategic decisions.
    · Identify opportunities to deliver step-changes in supply chain performance through configuration, parameter adjustment, or based on innovative mathematical analysis.
    · Partner with operations, retail and software teams to implement key strategic initiatives.
    · Analyze financial impacts and prioritize new features based on their relevance.
    · Research, evaluate and roll-out software, tools or process improvements.
    · Track the realized savings and impacts, and communicate results with senior leaders.

    Basic Qualifications

    · At least 10 years of professional experience in highly analytical environment
    · Degree in engineering, operations research, mathematics, statistics, or other quantitative areas such as computer science or physics. Master’s level degree or higher preferred.
    · Deep knowledge in analytics and data-driven decision-making skills.
    · Excellent Microsoft Office skills, including strong working knowledge of Excel and VBA.
    · Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.
    · A track record of problem solving and creativity in finding/designing new solutions and innovative methods, using software systems and the desire to create and build new processes.
    · Ability to handle multiple competing priorities and projects in a fast-paced environment.

    Preferred Qualifications

    · Experience with analyzing big data sets (100M+ rows)
    · Experience working effectively with software engineering teams. Technical aptitude and familiarity with the design and use of software systems.
    · Familiarity with supply chain management concepts - forecasting, planning, optimization, logistics - gained through work experience or graduate level education.
    · Familiarity with statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analysis, regression models, clustering, machine learning
    · Familiarity with mathematical modelling & simulation techniques – probability, optimization (linear programming, etc.), graph theory, state models
    · Familiarity with Big Data concepts and platforms (Hadoop, Mahout, etc.)
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