OverviewSenior Data Scientist / Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS)Job ID: 3169346 | Amazon Development Centre Italy SRLAre you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers!We are looking for a Senior Business Intelligence Engineer / Data Scientist to help us build a comprehensive understanding of customer segments, affinities and lifetime value for the Marketing and Prime organization in Europe.Our team uses the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on the cutting-edge in automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field.Key responsibilities
Working on complex loosely defined analytics problems and defining the team's BI strategy. Delivering independently, and influencing the organization's BI architectureProviding analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining BI strategies that cross teams and making technical trade-offs for long term/short-term needs.Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisionsProviding analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunitiesDriving best practices in operational excellence, data modelling, and analysis
Basic Qualifications
7+ years of experience in Business Intelligence, Analytics, or a related advance analytics and science-focused roleExpert-level SQL skills, including complex joins, window functions, performance optimization, and large-scale query tuningProven experience designing and owning end-to-end analytics solutionsStrong experience with data modeling and building scalable data warehousesExperience building and maintaining production-grade ETL pipelinesProficiency in Python (or similar scripting language) for data transformation and advanced analyticsDeep understanding of statistical analysis and experimental designExperience working with large, complex, and ambiguous datasets, translating vague business problems into structured analytical solutionsDemonstrated ability to influence senior business and technical stakeholders using data-driven insightsExperience defining metrics, KPIs, and success criteria that align analytics with business and product goalsStrong written and verbal communication skills, including experience writing high-quality narratives and executive-level documents
Preferred Qualifications
Experience operating at scale on AWS, including Redshift, S3, DynamoDB, Glue, Athena, EC2, and QuicksightExperience with big data technologies such as Spark, EMR, or similar distributed computing frameworksDemonstrated experience leading analytics initiatives across multiple teams or organizationsPoven ability to mentor and raise the bar for junior BIEs, analysts, or data engineersExperience partnering closely with Product, Engineering, Finance, and Operations to influence roadmap and strategyFamiliarity with machine learning concepts and working alongside data scientists to productionize insightsExperience building metrics layers or semantic layers to standardize reporting across an organization
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