Amazon

Business Intelligence Engineer, ATS Science and Technology

Python AWS DynamoDB R Matlab SQL
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Description
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- 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
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in the data/BI space
- Experience with forecasting and statistical analysis

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Have you ever wondered how Amazon delivers timely and reliably hundreds of millions of packages to customer’s doorsteps? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with providing business insights and working along scientists to scale cutting-edge optimization models globally?

If so, we look forward to hearing from you!

Amazon Transportation Services is seeking a Business Intelligence Engineer to be based in the EU Headquarters in Luxembourg. As a key member of the Science and Technology Team of ATS operations, this person will be responsible for supporting the deployment of transportation optimization models on a global basis. The successful applicant will work alongside scientists to extract business insights from optimization models, automate recurring customer requests and and work with customers globally to launch new optimization modules.

Key job responsibilities
This critical role requires an aptitude for independent initiative and decision-making, the ability to identify the right engineering solutions to meet business needs and drive innovation in Transportation modelling and optimization across Amazon’s expanding European network and linking into global initiatives and expansion strategies.

- Automating recurring customer deep dive requests through dashboards and reports
- Support the launch of transportation optimization tools on a global basis by performing backtests and being a product expert
- Development of features for optimization tools globally
- Perform large-scale data analysis to identify business opportunities and inform the science roadmap
- Communicating to leadership results from business analysis, strategies and tactics


About the team
We are a global science and tech team for developing cutting-edge optimization models for Amazon's middle mile network. We are owning the entire lifecycle of tech products from idea to production-use and deploy our tools on a worldwide basis. Our team is composed of a wide variety of tech roles including scientists, software engineers and business intelligence engineers.

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