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Business Intelligence Engineer - Delivery Experience

Posted: 15 Oct 2020 Closes: 14 Nov 2020
LU, Luxembourg Competitive
Permanent & Full-time 1136385487


Delivery is getting faster and more convenient for online shoppers around the globe. Delivery Experience team drives programs to ensure Amazon's core delivery offers are sharp and appealing to a wide range of customer segments in a broad set of countries. How many speeds should we offer? How fast should each be? How do our offers match up against competitive alternatives? Do different customer segments have different preferences? What differences should there be in delivery experience for remote areas vs. urban ones? These are just some of the questions Delivery Experience team tackles.
As a Business Intelligence Engineer in the Delivery Experience team, you will help us extract meaning from large volumes of data and improve Amazon delivery offers. You should be curious and comfortable digging deep into data to identify opportunities and discover insights that will enable us to unlock step function growth in our business. You will be responsible for modeling complex/abstract problems and discovering insights with statistical and visualization techniques. You will retrieve, visualize and present critical data in a format that is immediately useful to improve the decision-making process. This role requires an individual with excellent analytical abilities as well as outstanding business acumen. Our environment is fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. You will be working alongside a team of Product Managers and Operations experts who are developing new delivery services for customers across Europe.
This role is based out of Luxembourg supporting Delivery Experience programs across Europe.

- Use analytical and statistical rigor to solve complex problems and drive business decisions.
- Analyze historical data related to supply chain like inbound flows, vendor behavior, inventory, storage capacity etc. to identify trends and insights.
- Own the design, development, and maintenance of ongoing metrics, analyses, and dashboards to drive key business decisions.
- Make recommendations for new metrics, techniques, and strategies to improve business understanding.
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
- Perform deep-dives and root cause analysis to answer business questions.
Effectively communicate (written and verbal) solutions and methodologies to senior leadership.


- Bachelor's degree in quantitative or technical discipline (Engineering, Math, Statistics, Supply Chain etc.)
- 3+ years of experience in complex quantitative analysis.
- 2+ years of experience with SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
- 2+ years of experience with one or more scripting language: Python preferred
- Prior experience in one or more BI/ reporting/visualization tools (preferably Tableau or QuickSight)


- Graduate degree in Engineering, Logistics, or another quantitative field preferred.
- Familiarity with supply chain management concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education.
- Excellent written and verbal communication skills. The role requires effective communication with senior management as well as with colleagues from operations and business backgrounds.


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