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Sr. Business Intelligence Engineer, Supply Chain
il y a 1 mois
The growth of the business and the company's mission to be Earth's most customer-centric company significantly impact the customer fulfillment business, which becomes more extensive and intricate year after year.
The EU S&OP team predicts inventory flows to and from each country, managing what Amazon receives from vendors/sellers and ships from its Fulfillment Centers (FCs).
Responsibilities include monitoring S&OP performance, driving continuous improvement in planning tools and methods, and collaborating with Supply Chain Optimization Technology (SCOT) teams in North America and internal EU stakeholders in Transportation, Retail, and Finance.
Within the EU Supply Chain, the engineering team develops new products in partnership with SCOT, enhancing S&OP accuracy, automation, and cost reduction.
The role involves building new products with automated data pipelines and processes for S&OP operations teams.
This is a hybrid BIE/PM role, involving leading project work-streams and providing analytical insights. Key responsibilities include:
- Perform deep data analysis to develop product models.
- Collaborate with Tech Stakeholders to shape product vision and improvement roadmaps.
- Design automated BI solutions for reporting and product diagnostics.
- Ensure data accessibility and quality checks align with Product Strategy.
- Demonstrate a passion for innovative ideas and possess strong attention to detail and self-motivation.
About the team:
The S&OP product development team focuses on three main goals:
- Sustain existing products through bug fixes.
- Enhance existing products annually with new features.
- Develop new in-house products.
Open positions are available in Luxembourg, LUX.
Basic Qualifications:
- Programming experience for handling large data sets
- Knowledge of design of experiments and statistical analysis
- Familiarity with AWS technologies
- Automation scripting and advanced SQL skills
- Understanding of information retrieval, data science, machine learning, and data mining
- Proficiency in translating between data and business requirements
- SQL expertise and data visualization skills
- Experience in the data/BI space
Preferred Qualifications:
- Experience in managing, analyzing, and presenting results to senior leadership
Amazon is committed to diversity in the workplace, making recruiting decisions based on skills and experience. The company values innovation, simplicity, and privacy protection for all candidates.
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