Amazon Europe
Luxembourg
DESCRIPTION EU Ops Concessions is seeking a Business Intelligence Engineer who will be part of a new team that is defining and building innovative products and service capabilities to reduce operational defects. The person in this position will focus on the network-wide topic of undelivered shipments and have unique possibility to support the deve
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION Job summary Love data as much as we do? Want to influence strategy with data analytics at Amazon? We have the career for you. AMXL Strategy team is looking for a Business Intelligence Manager to help build our BI team to own our reporting, metrics creation, KPI definition and cross-functional mechanisms to fuel our success. As a leade
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION Amazon's Global Logistics team is seeking an experienced Business Intelligence Engineer who will help build the next generation of analytical solutions & data automations for our import operations team. Global Mile is a team of highly experienced logistics professionals, carrier specialists, program managers and tech professionals focu
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION Amazon Hardlines Private Brands is looking for a motivated Business Intelligence Engineer. WW Hardlines Private Brands Business Intelligence team powers the automation and influences the insight of newly created brands and products Worldwide. We need leaders who are owners, have a bias for action, and possess a deep analytical desire
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptional people. Amazon is seeking a Business Intelligence Engineer to join the Global Procurement Excellence (GPE), Business Intelligence (BI) team. GPE is part of the Global Procurement Organization (GPO). It is the single channel f
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION The Supply Chain Optimization Technologies (SCOT) organization owns Amazon's global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION Have you ever ordered a product on Amazon and when that box-with-the-smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer's doorsteps? If so, Amazon's Tr
Job Source: Amazon EuropeAmazon Europe
Luxembourg
DESCRIPTION Are you interested in a high-impact role with exposure to senior leaders? The EU Process Engineering Team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Centre Operations. Collaborating closely with Amazo
Job Source: Amazon EuropeLuxembourg
DESCRIPTION The Amazon ORC Classification Analytics team is looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team.
This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing, understanding factors like random assignment, statistical power, p-values, confidence intervals, potential biases along with strong grasp of frequentist statistics.
The ideal candidate will help us to build data pipelines and robust metrics decks, perform advanced statistical analysis, and measure the success of our model deployments.
If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences, we'd love to hear from you! Your responsibilities will include: Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
Ability to clearly articulate assumptions, methodologies, results, and implications.
Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders Implementation of various sampling techniques with the ability to handle issues arising from sampling, like sampling biases.
Able to do statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing, We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX BASIC QUALIFICATIONS Bachelor's or Master's degree in Statistics, Data Science, Computer Science, or related field.
Experience in Business Intelligence, Data Analysis, or a similar role.
Proficient in scripting languages (e.g., R, Python, SQL).
Experience with one or more analytics visualization tools (e.g., Excel, Tableau, Quick Sight, Power BI).
Strong understanding of A/B testing, sampling methodologies, and other statistical analysis.
Proficient in descriptive statistics and familiar with inferential statistical methodologies.
Exceptional communication skills, with the ability to convey complex ideas in a clear and concise manner.
Strong critical thinking and problem-solving skills.
PREFERRED QUALIFICATIONS Knowledge of how to improve code quality and optimizes BI processes (e.g.
speed, cost, reliability) Knowledge on modelling techniques Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
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