Amazon seeks a passionate, results-oriented, senior technical business analyst to join our European Supply Chain Department in Luxembourg.
You will be responsible to optimize our complex and expanding European Fulfillment Network. Do you think you are up to the challenge?
Would you like to stretch your skills, learn from other super smart people, and develop your career?
Successful candidates will have the attitude of a data detective combined with strong analysis skills and problem solving mindset.
This is a highly visible role that requires partnering with software development, retail, fulfillment centers and transportation teams.
You must have the experience and capability to create and present documentation for senior executives. Excellent written and verbal communication, and ability to prioritize well are essential skills.
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 8 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.
Experience with analyzing big data sets (100M+ rows)
Experience working effectively with data engineers and data scientists
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 Big Data concepts and platforms (Hadoop, Mahout, etc.)