Speed Analyst, EU Same Day Planning
Pubblicato il 14-10-2026 - Amazon in Romano di Lombardia
Description
Tutte le competenze, le qualifiche e l'esperienza necessarie per un candidato di successo sono elencate nella seguente descrizione.
As Speed Planning Analyst, you will take end-to-end ownership of network launches across your region from day one, co-owning strategic initiatives with senior leadership and exercising sound judgement to ensure launch plans are aligned with operational readiness. You will lead high-impact projects—from Nexus launches to Same Day Cycles acceleration—partnering across first mile, middle mile, and AMZL teams to drive network speed optimization and customer experience improvements.
You will serve as the primary point of contact for securing all approvals, conducting Business Case Reviews, and obtaining sign-offs from DEX, STEP, and Operations Leadership across your region. The ideal candidate is a strategic thinker who thrives in ambiguity, brings strong analytical rigour, and is passionate about delivering results in a fast-paced, cross-functional environment
Key job responsibilities
As a Speed Planning Analyst ,
you will take end-to-end ownership of network launches across the region from day one, co-leading strategic initiatives with senior leadership and exercising sound judgement to ensure launch plans are realistic, achievable, and aligned with operational readiness. You will lead high-impact programs including Nexus launches, Same Day Cycles acceleration, and scope extension projects, serving as the primary point of contact for securing approvals and sign-offs from Same Day, DEX, STEP, and Operations Leadership. Working cross-functionally with first mile, middle mile, and AMZL operational teams, you will drive network speed optimization, improve customer order cut-offs, and reduce delivery times across UK/MEU/SEU . You will conduct comprehensive launch readiness assessments, identifying risks and mitigation strategies ahead of go-live, while building data-driven business cases using AS IS vs. future state models that t