Job description

Job summary Are you interested in innovating to deliver a world-class level of service to Amazon’s Vendors? We work directly with Vendors to improve value, selection and convenience across their business. Our team will invent and innovate across services, technology, processes and people to improve vendor engagement, satisfaction and enable scalability. This role can be located in Munich or London as per candidate choice. Key job responsibilities Our team is looking for an experienced 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, category teams 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 KPIs impacting vendor performance 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.
* Atleast 5 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 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. m/w/d

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