Business Intelligence Engineer, SQL, Tableau

4 weeks ago

London, United Kingdom Amazon Full time

Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Berlin, EU Heavy and Bulky Services
Are you interested in building data warehouse and data lake solutions to shape the analytical backbone of the EU Heavy Bulky & Services team? We are hiring a Business Intelligence Engineer to scale up our data projects to the next level. This position requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our specific product portfolio. We are looking for a Business Intelligence Engineer to support our European business. You will be able to display excellent communication skills and stakeholder management, focus on upholding standards and be committed to creative problem solving and getting things done. The successful candidate will have played a leading role in bringing to life analytically derived solutions that have solved large-scale business problems. Design, develop and implement scalable data solutions, automate processes and accelerate analytics.
- Collaborate with other Business Intelligence Engineers on a WW scope and implement data pipelines to automate manual solutions.
- Propose and prioritize changes to reporting, create additional metrics, own the data presented.
- Build an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data eco-system.
- Learn new systems, tools, and industry best practices to help design new studies and build new tools.
We dedicate 75% of our time to BI projects, to find solutions for business needs and to optimize internal processes. 15% go to ad-hoc tasks and analyses, the remainder of time to learning, trying out new tools or designing solutions for future projects.
The EU HBS BIEs are a data focused team that drives innovative projects for the Heavy Bulky and Services business. Our mission is to build a best-in-class Customer Experience for our selection.
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 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
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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