Business Intel Engineer, Amazon Business [Luxembourg]


 
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience with SQL
  • Experience in the data/BI space
Business Intelligence Engineer, Amazon Business EU

Over the past 25 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers and marketplaces in the world. Amazon Business is dedicated to serving the needs of business customers and we are focused on building the largest and most innovative Business-to-Business (B2B) marketplace in the world. We are recruiting a handful of the best and brightest to make this vision a reality.

Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high investment for Amazon. We are focused on building solutions to enable B2B customers to discover, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. Our customers include individual entrepreneurs, small businesses to large multi-national companies that buy in either high frequency or in bulk quantities. Our B2B customers have different needs than the traditional Amazon customer and thus we have to reinvent everything from how we display our selection, price our products, and provide the right customer experience.

Some qualities that we are looking for: you are results oriented (and have a track record of repeatedly delivering great results); you are an innovator (and have already proven it); you have the intellect and horsepower to solve really complex problems (some may say impossible to solve); you are an owner, and do what it takes to make your team successful; you have relentlessly high standards (some may say too high); you are customer obsessed; you operate well in an ambiguous environment; and finally, you have a burning desire to be a part of something really big.

Key job responsibilities
Collaborating with multiple teams across various functional areas and geographies WW to extract the business requirements and to propose strategic and tactical levers for developing the B2B marketplace.

Analyze and solve business problems at their root, stepping back to understand the broader context.

Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of the Amazon Business.

Develop end-to-end self-service BI solutions to support decision making for the key stakeholders in the EU as well as WW.

Train business stakeholders to use the BI tools and to be autonomous in data analysis.

Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience.

Develop and roll out mathematical models and algorithms to understand customer and vendor behavior and needs.

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience with Microsoft Technologies -SSAS, SSIS, Power BI
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.

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