Manager (M/F) Performance and Insights
Amazon Luxembourg
Crauthem, Luxembourg
il y a 4j
source : Monster

Job based in Luxembourg At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly taking to new levels is how we fulfill and deliver customers’ orders.

Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in the world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space.

Come join the team and help us work hard, have fun, and make history! The EU DSP Management team works with the various European countries to optimize our end-to-end relationships with the Delivery Service Providers (DSP’s), focusing on providing a best-in-class partnerships with our stakeholders across EU.

We are looking for an Manager - Performance and Insights who is ready to roll up their sleeves and help us develop actionable, data-driven insights, using various quantitative tools and core project management skills.

This role can be based in London, Luxembourg, or Munich. BASIC QUALIFICATIONS For this position we expect : # BS in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or similar focus.

5+ years of relevant work experience in BI, Analytics, Data Science, or comparable fields. # Proven SQL / Python skills in data transformation, analysis, and optimization.

Excellent written and verbal communication skills, especially relating to quantitative topics discussed with non-technical colleagues.

Ability to influence multiple stakeholders across diverse functional areas to align roadmap and priorities. # Strong organizational and multitasking skills with ability to balance competing priorities.

PREFERRED QUALIFICATIONS Further qualifications would be a plus : # Professional experience in supply chain, logistics, parcel delivery, and / or e-commerce.

MS in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics or related field.

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