Job ID: 3002529 | Amazon Business EU Sarl - H95
We recruit for this role across several locations: it can be Madrid, Luxembourg, Paris, Munich.. please make sure to share the locations you are willing to consider in the questions during your application.
The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the London corporate office. The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems.
Key job responsibilities
In this position, you will take ownership of labor planning as soon as you start, you’ll exercise sound judgement, making sure plans are realistic and achievable. And it’ll be worth it; the impact you could have, within one of the world’s biggest, most innovative companies, won’t go unnoticed. At Amazon, we trust the people we hire and provide plenty of support to help to set you up for success. Our culture is very learn-by-doing oriented; you will take control of your career.
A day in the life
As a Planning Analyst in the Capacity Planning Team, you will be working on the weekly cadence for the generation of labor plans for AMZL delivery stations to make sure the organization is well prepared for the future. You will analyze execution gaps to improve future plans. You will work cross-functionally and build key relationships to ensure that decisions are made and actioned. Which will enable the AMZL operations to run as effectively as possible. You will challenge the unknown and strive for continuous improvement in key areas of our business.
A successful candidate enjoys problem solving, is comfortable accessing and working with big data from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal drive to challenge the status quo, excellent analytical skills, as well as excellent written and verbal communication skills. You should be a self-starter, comfortable with ambiguity, naturally curious, and be involved in the details.
BASIC QUALIFICATIONS
· Bachelor’s degree in engineering, statistics, computer science, business analytics, information systems or related field · Proficient in MS Excel · Fluent in SQL · Strong written and verbal communication skills
PREFERRED QUALIFICATIONS
Work experience in operations/supply chain/logistics · Knowledge of VBA · Exposure to labour or production planning · Experience working with data warehouse · Experience cross functionally · Experience in complex problem solving, root cause analysis in a business environment · Experience with supply chain management and transportation concepts
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Posted: May 6, 2025 (Updated about 1 month ago)
Posted: May 6, 2025 (Updated about 1 month ago)
Posted: September 30, 2024 (Updated 9 months ago)
Posted: September 30, 2024 (Updated 9 months ago)
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