Emploi: Finance Manager, EU GTS Finance:Amazon EuropeJob description:Retour aux résultats Marquer cette offre d'emploi Offres d'emploi marquées appliquer maintenant Business Intelligence Engineer, WW ORC Classification. Amazon EuropeLocalisation: . Luxembourg Rémunération : . not communicated Dernière mise à jour: . mardi 16 avril 2024 Contrat Type: . CDI Temps de travail: . Temps plein appliquer maintenant » Partager cette offre d'emploi: » » » » Signaler cette annonce
Description de emploiDESCRIPTIONThe 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, QuickSight, PowerBI). » 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. secteurs similaires . IT / Programmation , Entreposage / Logistique / Expédition , Analyse / Gestion de Projet Localisations similaires . Luxembourg Merci d'avoir signalé cette offre.Un membre de notre équipe contrôle capacité va regarder rapidement.Skills:
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