AmazonPosted 6d ago
Business Intelligence Engineer, Amazon Leo Europe Consumer at Amazon scores 0 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Build automated data pipelines, dashboards, and analytical models for Low Earth Orbit satellite consumer business.
This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.
Key job responsibilities
- Analyze large data sets to identify patterns, understand drivers, and generate insights for demand, retention, service plan mix, and seasonality models
- Write queries to extract data and insights combining datasets within Amazon Leo with publicly available datasets
- Design, build, and maintain automated reporting, dashboards, and recurrent analysis in support of data driven decisions across business operations
- Identify opportunities for automation to accelerate insight generation
- Analyze and create visualization of large geo-spatial data to drive subscriber growth strategies
- Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets
- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
Basic qualifications
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with data modelling, warehousing and building data pipelines
Preferred qualifications
- Experience in working with geo-spatial data
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where geo spatial analysis was part of your work. What did you do?
- Tell me about a project where scripting was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Visualization, Geo Spatial Analysis, Scripting, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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