Amazon EU SARL (UK Branch)
Business Intelligence, Business Intel Engineer, Retail
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon EU SARL (UK Branch). Skills: Business Intelligence, Data Engineering, ETL. Build and maintain ETL pipelines. Maintain data models”
Industry & Context.
Analytical thinking; Define problems; Root cause analysis
What They're Looking For.
Must Have
Analyzing and interpreting data with Redshift, Oracle, NoSQL, Data visualization using Tableau, Quicksight, or similar tools, Industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI), Statistical methods (e.g. t-test, Chi-squared), Scripting language (e.g. Python, Java, or R), SQL, Data analysis experience
Nice to Have
Master's degree, Advanced technical degree, Data modeling knowledge, Data pipeline design knowledge, Statistical analysis experience, Co-relation analysis experience
What You'll Do.
Build and maintain ETL pipelines
Develop reporting solutions
Perform deep-dive analyses
Surface actionable recommendations
Automate recurring reporting
Automate data quality checks
Partner with senior BIEs
Partner with product managers
Translate business questions
Document data sources
Contribute to analytics practice
Transition toward AI-powered experiences
How You'll Work.
Team & Collaboration
Multiple stakeholders; Technical audiences; Non-technical audiences; Senior BIEs; Product managers; Business users; Cross-functional teams
Communication Scope
Written communication; Verbal communication; Present findings
Full Job Description
The Retail Supply Chain Initiatives (RSI) team is looking for a Business Intelligence Engineer who thrives in a collaborative, creative, and fast-paced environment where ambiguity is the norm and analytical thinking drives impact. In this role, you will develop, enhance, automate, and manage analytical models that power decision-making across EU supply chain operations. **What you'll do:** - Design and maintain data pipelines, models, and dashboards that serve multiple stakeholders across the organization - Translate complex data into clear, actionable insights and present findings to both technical and non-technical audiences - Use data to constructively challenge assumptions and inform better decisions - Identify opportunities to simplify and automate, building sustainable long-term solutions **What we're looking for:** - Solid foundation in data mining, modelling, and quantitative analysis - Experience working with large-scale datasets (professional or academic) - Clear written and verbal communication skills — able to tell the story behind the data - Comfort navigating ambiguity and a willingness to ask questions to define problems - A collaborative mindset with curiosity and eagerness to learn from experienced team members This role is based in Amazon's EU offices in London or Luxembourg Key job responsibilities Key Job Responsibilities: - Build and maintain ETL pipelines and data models supporting EU supply chain analytics - Develop dashboards and reporting solutions for retail stakeholders, ensuring data accuracy and timely delivery - Perform deep-dive analyses on supply chain metrics, surfacing root causes and actionable recommendations - Automate recurring reporting and data quality checks to reduce manual effort - Partner with senior BIEs and product managers to translate business questions into analytical solutions - Document data sources and methodology to enable self-service for business users - Help shape the future of our analytics practice — contribu
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