Sr. Manager, FM Analytics, Long Term Planning

Sr. Manager, FM Analytics, Long Term Planning

Job ID: | Amazon UK Services Ltd.

Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.

Key job responsibilities

You will be responsible for driving all aspects of the First Mile analytics roadmap — the leg that moves inventory from our fulfillment and sort centers into the transportation network. This spans first-mile topology and connectivity, inbound-to-outbound flow design, FC-to-middle-mile injection, truck building and linehaul optimization out of our sites. The objective is to design the First Mile setup that lets us offer faster speed (including Same Day on a subset of the selection) at cost-parity with the rest of Store on a 3Y horizon. This is a role for an exceptionally talented person, with high energy and courage, passionate about delivering concrete improvement for our customers, and who wants to achieve that using data.

The role includes 40% of stakeholder/project management and 60% analytical activities.

Innovation & Stakeholder/Project management

• Leverage planning and analytics tools developed by Science teams to assess the optimal First Mile topology, connectivity and flows
• Use and share your insights with partner teams to influence strategic decisions (e.g. site connectivity, injection points, first-mile transportation design)
• For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business cases with benefits, bottlenecks, risks and resources required
• For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation
• Lead regular business reviews with partner teams to monitor the progress of projects in the roadmap. Help remove bottlenecks
• Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level).

Data Analytics/Science

• Deep dive complex data to uncover actionable insights for known and unknown problems
• Good expertise with financial modelling (P&L, cashflow, mix/rate)
• Candidates must be able to think and operate at all levels (both strategically and tactically).

About the team

Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.

Basic Qualifications

• Bachelor's degree in Business, Logistics, Business Engineering, Supply Chain, or a related field
• Experience leading and interacting with cross-functional teams
• Experience in tax, finance or a related analytical field
• Experience identifying and solving complex problems through data analysis
• Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
• Knowledge of database systems and SQL
• Ability to lead and structure projects, in particular liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities

Preferred Qualifications

• Experience applying strong numerical and analytical abilities to develop product/program strategies and evaluate complex processes and financial scenarios
• Experience in Redshift, or experience in SQL Server/MySQL
• Experience working with fast-moving, high-performance teams and driving innovative solutions tailored to unique business environments
• Ability to progress autonomously in ambiguous environment

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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