Amazon operates e-commerce, logistics, cloud services and digital content businesses.
Speed Programs Analyst - FTC 18 months, Sr Same Day Programs
Amazon is recruiting a speed programmes analyst in London to lead capacity planning for high-volume events across the Same Day EU5 network. The role involves building capacity models, analysing data and coordinating with the Operations, Last Mile, Middle Mile and Tech teams.
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Description de l’offre
This is an 18-month fixed-term contract. We are looking for a Speed programs manager to own end-to-end capacity planning for High Volume Events (HVE) and Operational execution across the EU5 Same Day network. This role sits within the Speed Programs team and is responsible for ensuring our stations are resourced, planned, and ready to deliver on our customer promise during the most demanding periods of the year — Prime Day, Peak (Black Friday/Cyber Monday), and other high-volume events.
You will work backwards from demand forecasts to build station-level capacity plans, identify gaps before they become misses, and drive cross-functional alignment with Last Mile, Middle Mile, Operations, and partner teams to close them. You will own the planning calendar, mechanisms, and governance that ensure the network moves from "plan" to "ready" with full accountability at each milestone.
This role requires someone who is comfortable operating in ambiguity, can translate large data sets into clear capacity decisions, and can hold partner teams accountable to shared commitments under time pressure. You will be the single-threaded owner for HVE capacity readiness across EU5 Same Day — when Peak arrives, your plans are what the network executes against. •
Key responsibilities
•
- Own the EU5 Same Day HVE capacity planning process end-to-end: demand ingestion, gap identification, action tracking, and readiness sign-off
- Build and maintain station-level capacity models for all Peak events, working with forecasting, operations, and network teams
- Identify capacity gaps (mechanical, OTR, UTR) early and drive resolution through established levers (DILO changes, route additions, overlap jurisdiction, CPT shifts)
- Create and run the governance mechanisms (WBRs, readiness reviews, escalation paths) that ensure the network hits readiness milestones on schedule
- Partner with Operations, Last Mile, Middle Mile, and Tech teams to align inputs and commitments
- Produce clear, data-driven recommendations for senior leadership when trade-offs are required
- Build post-event retrospectives that feed learnings back into the next planning cycle
- Bachelor's degree or above in Supply Chain Management, Engineering, Math, Business or other related quantitative disciplines
- Experience in similar technical or vocational roles
- Experience with advanced use of Excel and using statistical analysis applications, or experience with Microsoft Office including Outlook, Word, and Excel
- Experience in building financial and operational reports/data sets that inform business decision-making, or experience with data analytics platforms (Power BI, Python, SQL, Tableau)
- Experience in communicating technical concepts to a non-technical audience
- Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience in an operational role
- Experience identifying and resolving complex issues
- Speak, write, and read fluently in English, and have the ability to take direction in English
- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Knowledge of capacity planning concepts
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience in accounts receivable or account payable, or experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
- Experience in creating process improvements with automation and analysis, or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Requirements
- capacity planning
- programme management
- logistics
- operations
- supply chain
- transport
- statistical analysis
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