Business Intelligence Engineer

3 weeks ago

London, United Kingdom Amazon Full time

Business Intel Engineer, EU Customer Behavior and Marketing Analytics and Data Science LUX/LHR/BER/MUC/MAD/LIN Job ID: 2565172 | Amazon Development Centre (London) Limited

Do you enjoy working closely with the business, scientists and software engineers to build scalable products? The EU Marketing & Prime organization is looking for a Business Intelligence Engineer – Customer Behavior & Marketing Analytics and Data Science. We use 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. 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.
We continue to learn and iterate, and foster inclusion internally through educational programmes, mentorship schemes, flexible working arrangements, and egalitarian benefits for all of our employees.
Our commitment to diversity, equity, and inclusion is central to Amazon’s mission to be Earth’s Most Customer-Centric Company, Best Employer, and Safest Place to Work.
Working on complex loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy. Delivering independently, and influencing the organization's BI architecture
• Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. 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. 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
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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