Are 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 job responsibilities
Working on complex loosely defined analytics problems and defining the teams Business Intelligence (BI) strategy. Delivering independently and influencing the organizations BI architecture
Providing 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 Business Intelligence 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 decisions
Providing analyses frameworks and solutions that inform multiple teams business decisions and highlight new opportunities
Driving best practices in operational excellence data modelling and analysis
- 7 years of experience in Business Intelligence Analytics or a related advance analytics and science -focused role
- Expert-level SQL skills including complex joins window functions performance optimization and large-scale query tuning
- Proven experience designing and owning end-to-end analytics solutions
- Strong experience with data modeling and building scalable data warehouses
- Experience building and maintaining production-grade ETL pipelines
- Proficiency in Python (or similar scripting language) for data transformation and advanced analytics
- Deep understanding of statistical analysis and experimental design
- Experience working with large complex and ambiguous datasets translating vague business problems into structured analytical solutions
- Demonstrated ability to influence senior business and technical stakeholders using data-driven insights
- Experience defining metrics KPIs and success criteria that align analytics with business and product goals
- Strong written and verbal communication skills including experience writing high-quality narratives and executive-level documents
- Experience operating at scale on AWS including Redshift S3 DynamoDB Glue Athena EC2 and Quicksight
- Experience with big data technologies such as Spark EMR or similar distributed computing frameworks
- Demonstrated experience leading analytics initiatives across multiple teams or organizations
- Proven ability to mentor and raise the bar for junior BIEs analysts or data engineers
- Experience partnering closely with Product Engineering Finance and Operations to influence roadmap and strategy
- Familiarity with machine learning concepts and working alongside data scientists to productionize insights
- Experience building metrics layers or semantic layers to standardize reporting across an organization
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