Senior Business Intelligence Engineer, VX and EU-AVS
Luxembourg, Luxembourg, LUX
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...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:
Luxembourg, LUX
Basic Qualifications
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadershipAmazon 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Business Intelligence Causal inference Computer Science CX Data Mining Data visualization E-commerce Econometrics Economics Finance Machine Learning Privacy Python QuickSight Research Security SQL Statistics Tableau
Perks/benefits: Career development
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