Business Intelligence Engineer, Delivery Speed and Long-term Planning
Amazon
- Luxemburg
- Unbefristet
- Vollzeit
- 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.
- This role will particularly suit someone with analytical abilities, stakeholder and project management skills.
- The role includes 60% analytical activities and 40% of stakeholder/project management.
- Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries
- Lead regular business review with partner teams to monitor the progress of projects in the roadmap.
- Consolidate progress into crisp and concise data-driven status updates.
- Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America
- Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects.
- Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.
- Perform deep-dives and data analysis using SQL (
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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