Skip to main content

International Access Point, Business Intelligence Engineer

Posted: 14 Oct 2020 Closes: 13 Nov 2020
LU, Luxembourg Competitive
Permanent & Full-time 1230224655


Are you an experienced Business Intelligence Engineer with a strong work ethic? If yes, this opportunity will appeal to you. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build a world-class delivery experience, this is your chance to make history. We are looking for a dynamic, organized self-starter to join as senior Business Intelligence Engineer - International Access Point.

The Access Point program is looking for a motivated individual with strong skills and experience in the areas of operations excellence and data driven decision analysis to join our team. This role combines both business planning and financial modelling with an opportunity to build and develop tools for a growing program. Access Points represent an alternative network of delivery options for Amazon customers and currently include Amazon Locker (+10,000 kiosks), an array of 3rd party (+100,000 pickup points) and 1 party / carrier agnostic solutions (+10,000 locations).

As a proven senior BI engineer, you will have plenty of experience analyzing supply chains, transportation or financial data in a fast-paced environment in addition to designing algorithms. You will also engage closely with stakeholders and senior business leaders to gather requirements, prioritize projects and define team roadmap. You will conduct deep dive analyses and translate requirements into effective data visualizations and analytical solutions. You'll be no stranger to coordinating your workload and operating at a strategic level.

We expect you to have an in-depth understanding of Excel, Access, SQL and VBA, data architecture although any knowledge of programs like Python, R, Tableau will also stand you in good stead. In short, you'll know quantitative analysis techniques inside out, getting the right data from the right sources and thinking strategically of our long-term plans. You will be pro-active about data needs for the team and work on developing reports to answer important business questions.

The ultimate goal of Senior International AP BIE will be to automate manual work associated with reporting and enable a self-service capability for reporting and basic analytics to eliminate the need for the basic business question. You will also be involved in enhancing existing processes and algorithms for location selection and capacity management.
The Senior International AP BIE will drive the transition of the focus of the team from generating data and reports to extracting information from data and generating valuable business insights to drive key business decisions


+8 years of experience in operations supply chain analysis/ financial analysis, business process analytics, including data warehousing and business intelligence tools, techniques and technology.

+6 years of experience delivering high quality BI products in a fast pace environment and leading a high-performance BI and Data engineering team

Strong tactical level operator; thrive on analytics and detailed investigation; able to coordinate workload.

Technical Expertise- in-depth knowledge of planning and analysis tools; solution driven approach to system and process; advanced computer literacy (MS Excel, MS Access/other Database); R, Python, SQL are not optional.

Decision Making/ Complex Problem Solving- proactively gathers the right data from appropriate sources, probes/considers all of the facts, considers other perspectives; conducts root cause analysis; refers to long term plans and goals; prioritises key factors; acts decisively, promptly and confidently; complex analysis.

Proficiency with quantitative analysis, and databases. Particularly expertise in Data Modelling and Data Warehousing.

Graduate with a Degree in Engineering, Finance, Supply Chain, Logistics, Computer Science or other quantitative area.

Advanced analytical skills and detail-oriented, while also seeing and understanding the big picture.

Demonstrated ability to meet deadlines while managing multiple projects.

Excellent communication and presentation skills working with multiple peer groups and different levels of management.

Positive thinking, creativity, fun on the job.

International experience, fluent in English and (preffered) in Arabic


Data Science and Big Data

Statistical Modelling: inductive, descriptive, regression,

classification, clustering etc.

Essbase; Cognos

AWS Redshift


Share Job