Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics
Amazon EU SARL (UK Branch)•2h ago
United KingdomOnsiteFull-timeSenior Level5+ yrs exp
Top focus
Senior Data EngineerAnalytics EngineerData EngineerVp DataSenior Data Analyst
- Own the analytics that leadership actually uses to run the business. As a Senior Business Intelligence Engineer, you'll define the metrics, build the data products, and deliver the analysis that directors and VPs depend on for high-stakes decisions where accuracy isn't negotiable. This is a senior role on a team that works closely with business leaders, so the problems you take on are ambiguous, consequential, and rarely solved by a standard report. You'll translate unclear business questions into precise, measurable analysis, build the data foundation to answer them, and defend your methodology when senior stakeholders press on it. We value depth and detail: clean logic, defensible metric definitions, and analysis that holds up under scrutiny. Why you'll want this role: - A direct line of sight from your analysis to the decisions leadership makes - Hard problems with real stakes, - A team that cares about mechanisms, clarity, and getting definitions right - Room to set standards and grow into broader technical leadership Key job responsibilities What you'll do: - Lead analytics on executive-level projects from the first question through to a clear recommendation - Build and own the pipelines, models, and dashboards that drive decisions, with reliability treated as part of the job - Set the standard for metric definitions, finance and operational reconciliation, and data quality across the team - Mentor other BIEs and raise the bar on SQL, data modeling, and analytical rigor - Present to senior leadership, demonstrating leadership principles: Ownership, and Have Backbone
- Disagree & Commit
- Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight
- similar tools - Experience in the data/BI space
- Experience managing, analyzing and communicating results to senior leadership 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
- 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.
Required skills
SQLAWSPythondata visualizationTableauQuicksightdata modelingdata sciencemachine learningdata mining