• Supply Chain Manager Heavy Bulky Analytics & Operations Planning (m/f)

    Location LU-Luxembourg
    Posted Date 5 months ago(11/01/2018 9:58)
    Job ID
    582542
    Company
    Amazon EU SARL
  • Job Description

    Are you excited about partnering with retail leaders to drive high-visibility, strategic, revenue-generating activities, to define new replenishment strategies and logistic setups? Are you equally comfortable working with design and development teams to meet daily business requirements? If so, the EU Supply Chain Operations Team is looking for a Supply Chain Manager Heavy Bulky Analytics & Operations Planning (f/m) to own the Supply Chain and Transportation related planning and execution around heavy bulky products for Amazon Middle Europe.

    The Middle Europe Supply Chain Operations team works with Amazon’s Fulfillment Centers (FC), Transportation, Customer Service, Retail and Finance teams. The team provides business expertise to exceed customer expectations while minimizing end to end supply chain costs. This is a highly visible position that is critical to the company's operations management and forward capability. The fast paced growth and scaling of our fulfillment network for heavy bulky products relies on the innovation and operational excellence of this impactful analyst.

    Responsibilities
    • Coordinate and improve dedicated heavy bulky forecast from Retail perspective, product line by product line; have regular meetings with product line PoCs, facilitate best practice sharing and drive forecast automation
    • Analyze and and comment on weekly heavy bulky forecast accuracy
    • Analyze and manage heavy bulky storage capacity; review product size planning assumptions and work with stakeholders to secure proper planning and execution
    • Work with Transportation team to optimize the transportation setup for heavy bulky products
    • Work with Amazon's External Fulfillment team to increase the effciency for each node
    • Innovate tools landscape for heavy bulky planning to be deployed at EU and global level
    • Identify opportunities to deliver step-changes in supply chain performance through configuration, parameter adjustment, or based on innovative mathematical analysis.
    • 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 5 years of professional experience in quantitative analytics or business intelligence.
      • 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 of SQL. Mathematical, analytical, and data-driven decision making skills.
      • Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
      • 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.
      • Team player with proven ability to work with cross-functional teams in various locations.
      • 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

      • 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.)
      • Experience with scripting languages (Python, Perl, or Ruby) and UNIX.
      • 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.







    Applications with English CV only please


    Are you interested?
    We are looking forward to receiving your application. Please submit your online application including your CV, covering letter (both written in English) and certificates (school, university) by clicking “online bewerben”, stating your earliest start date and salary expectations separately in the applicant form.

    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.
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