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Sr. Business Intelligence Engineer, EU Supply Chain Network Planning
- +3
- +26
- Munich, Bavaria, Germany
- +3
- +26
- Munich, Bavaria, Germany
Über
Sr Business intelligence Engineer role supporting the Supply Chain Org with the Network Planning Analytics.
- You will support the Supply Chain network planning team by building, optimizing and maintaining BI solutions that use data sets, queries, reports, dashboards and analyses to improve the efficiency and speed with which long term planning decisions can be taken. You will seek input and guidance from team members on both the technology required and the business need to develop end products that enable effective, data-driven business decisions.
- You will have the creative freedom to develop technical solutions that support network planning team, by providing more granular analyses on key data points that present challenges to FC Ops teams. This can be across a broad range of topics, from customer demand signals, to inventory deep dives and transportation.
- You will be required to develop strategies for querying, processing, persisting, analyzing and presenting data. You should be proficient in SQL and know how to maintain and refine complex ETL. You should be able to write secure, stable, testable, maintainable code with minimal defects and automate manual processes where possible, with the help of industry analytics visualization tools (e.g. Excel, Tableau/QuickSight). This work is critical to maintaining accurate reporting mechanisms that are shared with multiple stakeholder teams.
- You will develop and own algorithms that automate network planning and FC launch recommendations, including but not limited to inventory transfer algorithm. Requirement is to be proficient in automation processes and scripting.
- You will partner with peer BIEs and work cross-functionally across teams than cover the breadth of long-term Network Planning to short-term Launch Execution. As part of this role you will participate in design, scoping, and prioritization discussions for technical projects that support these teams.
Stellen-ID: 2887763 | Amazon Deutschland Transport GmbH
Wünschenswerte Fähigkeiten
- Logistics
- Python
- Data Analysis
- Mentoring
- Management
- Product Management
- Finance
- Forecasting
- Tableau
- Machine Learning
- Data Mining
- Planning
- SQL
- Leadership
- Data Science
- Communication
- Experimental Design
- Automation
- SQL
- ETL
- Tableau
- Python
- AWS
- Data Science
- Machine Learning
- Data Mining
Berufserfahrung
- Business Intelligence
- Data Analyst
- Data Scientist
Sprachkenntnisse
- German