Amazon Senior Business Intelligence Engineer VX EU-AVS 

France, Ile-de-France 

581017896

Key job responsibilities
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.
Clichy, FRA

* 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.).

* 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.