Manager, Postal Analytics
Luxembourg, LU
il y a 6j


The Postal Analytics team is responsible for designing, building and maintaining tools to (i) provide analytics and insights for leadership to support decision making in terms of long term, high level transportation strategy (ii) digest data and provide actionable insights for leadership, finance, procurement and carrier management to identify actions to improve current transportation performance (iii) support carrier managers providing easy, reliable and go-to tools to dive deep issues and identify scalable solutions (iv) provide simulations and forecasting behind key improvement projects including deeper injections, afternoon deliveries.

The Postal Analytics team is looking for a Manager, Postal Analytics, who should drive the long term vision of the team, scope and prioritize opportunities, be the point of contact and drive alignment with others Analytics teams in the broader organization.

You should be a self-starter, ready to roll up sleeves and getting into the details. You should be highly proficient in SQL, have a good knowledge of programming in Python.

You should be excited about managing people, hire and develop talents.

You will be responsible for :

  • Defining the long term vision of the team, identifying areas of opportunities and synergies with the rest of the organization
  • Building yearly and multi-yearly roadmaps, collecting inputs from business partners, prioritizing projects in terms of impact and quickly adjusting to changing business priorities
  • Evangelize business stakeholders and the broader organization on the mission of this team and adoption of tools delivered
  • Manage a team of 2+ business analysts, developing and attracting talents
  • Develop and launch analytical tools for 50% of your time.

  • Master of Science in Computer Science, Supply Chain, Transportation, Engineering, Logistics or similar fields
  • 6+ years of experience in business intelligence
  • Advanced analytical skills and strong detail-orientation
  • Experience profiling data, data modeling and researching possible data quality issues
  • SQL skills
  • Python skills
  • Experience with Power BI
  • Advanced MS Excel skills
  • Fluency in English

  • 6+ years of planning and / or engineering data driven experience in transportation / logistics
  • Advanced VBA knowledge
  • Experience with Tableau Software
  • Fluency in an additional European language
  • By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.

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