Amazon EU SARL (Germany Branch)
Business Intelligence, Business Intel Engineer, Retail
SeniorBusinessIntelligenceEngineer,EUStoresCXAnalytics&Automation
“Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation at Amazon EU SARL (Germany Branch). Skills: Personalised recommendations, Data modelling, Production tooling, Customer engagement. Lead design and delivery of personalised recommendation strategies. Combine large-scale Amazon retail data”
What You'll Achieve.
Make a visible impact on how European customers discover products
Industry & Context.
Translate between data and business needs
What They're Looking For.
Must Have
Experience programming to extract, transform and clean large 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), 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, or similar tools, Experience in the dataI space
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Lead design and delivery of personalised recommendation strategies
Combine large-scale Amazon retail data
Combine real-time customer signals
Combine custom models
Surface right products at right moment
Develop custom data models using Python and Spark
Apply embeddings modelling
Apply customer persona matching
Power EU-specific personalisation strategies
and maintain internal tooling and services
Enable marketing teams to configure and launch personalised
Build Python based serverless applications
Build React front ends
Own baseline reporting and measurement suite
Build standardised metrics and dashboards
Track performance across all channels and surfaces
Conduct deep-dive analytics
Understand drivers of customer engagement
Understand personalisation performance
Translate findings into strategic recommendations
Translate findings into technical recommendations
Leverage big data query engines
Extract large-scale datasets
Transform large-scale datasets
Analyse large-scale datasets
Form analytical foundation for personalisation strategies
Form analytical foundation for campaign reporting
Partner and collaborate closely with colleagues
Contribute expertise across analytical stack
Contribute expertise across engineering stack
Build data primitives
Build automation systems
Build self-service platforms
Compose capabilities into workflows
Tailor workflows to EU requirements
Converge and evolve central solutions
Build data models and pipelines
Power personalised recommendations
Build production applications
Write production code
Design systems others depend on
Analyse data shaping strategic decisions
How You'll Work.
Team & Collaboration
Cross-functional teams; EU Customer Insights and Analytics team
Communication Scope
Communicate results to leadership
Applying for this Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon EU SARL (Germany Branch)?
Real rants from real employees. Read before you apply.