Senior Business Intelligence Engineer, VX and EU-AVS
Il y a 6 mois
Key job responsibilities
Our team is looking for an experienced Senior Business Intelligence Engineer with experience in quantitative analysis, econometrics, applied statistics, and/or machine learning to dive deep into business problems, detect vendor’s paint points and measure their impact on their engagement with Amazon. This role will help execute a long-term vision of data-driven Vendor Experience analysis through data exploration, correlation analysis, benchmarking and survey analysis. Output will be used by various teams including finance ops, supply chain, support to improve vendor’s experience and their ability to partner with Amazon. We are particularly interested in candidates with a research background in econometrics, data science, quantitative analysis, causal inference or some combination of these fields. However, we want to talk with any experienced professional with an interest in working on innovative, strategic problems with significant business impact. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. He/she will be an expert in manipulating large data sets and running experiments to validate developed approaches.
A day in the life
* Deep dives into vendor segmentation, behavior and satisfaction
* Leverage techniques from econometrics, computer science and statistics to measure vendor experience and its impact on their engagement and economics
* Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports.
* Support the functional teams with ad hoc data requests and analytical needs. * Partner with other science leaders throughout Amazon to effective solutions.
About the team
The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education world-wide working with partner teams in Europe, North America, Japan, and emerging locales and are responsible for all elements of a vendor’s interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support.
We are open to hiring candidates to work out of one of the following locations:
Paris, 75, FRA
BASIC QUALIFICATIONS
* Degree in Engineering, Finance, Computer Science or a related technical field.* Minimum of 5 years of relevant experience in advanced data analysis, applied data science or a related field.
* Solid analysis and econometrics skills.
* Solid experience working with large/disparate data sets, and with experimental design using data analysis languages (e.g., SQL, Python, Spark, etc.).
PREFERRED QUALIFICATIONS
* Phd in econometrics.* 10 years experience in data analytics.
* Strong organizational and multitasking skills with ability to balance competing priorities.
* Comfort dealing with ambiguity.
* Ability to work effectively within an interdisciplinary science team of economists, applied scientists, software engineers, and data engineers.
* Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to non-technical audience.
Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.
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