Job Information
Amazon Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning in Luxembourg, Luxembourg
Description
Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you!
The team: Global transportation services, Speed and Long-term Planning
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.
Key job responsibilities
This role will particularly suit someone with deep data engineering skills and an ability to navigate complex systems
The role includes 80% analytical activities and 20% of stakeholder/project management.
Innovation & 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.
Data Analytics:
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 (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision
A day in the life
An Amazon Business Intelligence Engineer starts the day by analyzing delivery speed data, collaborating with cross-functional teams to optimize processes. They create insightful reports and dashboards to aid decision-making for stakeholders like Operations and Logistics. By leveraging data science techniques, they forecast long-term trends to enhance delivery efficiency and customer satisfaction. They work closely with software developers, applying BI tools to improve system performance. Solving complex problems related to delivery speed and planning, they contribute to Amazon's goal of providing exceptional customer experiences.
About the team
GTS SLTP acts as the internal consulting team to help teams across Amazon achieves the right balance between customer experience and investments. Team members have a very large scope of impact and regularly interact with leadership two levels above them.
We are open to hiring candidates to work out of one of the following locations:
Luxembourg, LUX
Basic Qualifications
Experience building measures and metrics, and developing reporting solutions
Knowledge of data warehousing and data modeling
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience in the data/BI space
Experience working as a BIE in a technology company
Preferred Qualifications
Master's degree in statistics, data science, or an equivalent quantitative field
Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with AWS technologies
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