Stellen-ID: 2886390 | Amazon EU SARL (Germany Branch) - D70
Join us on a mission to revolutionize curated marketing experiences at Amazon! We're seeking an analytical and creative mind to build automated solutions that transform how millions of customers discover products across Europe. As part of our EU Hardlines Customer Insights & Analytics team, you'll develop innovative Automated Marketing Models while establishing frameworks that continuously improve their performance.
In this pivotal role, you'll wear multiple hats to drive excellence in our marketing experiences. You'll develop new automated marketing models that connect customers with relevant products, create sophisticated customer segments based on shopping behaviors and preferences, and build automated monitoring systems that identify opportunities for improvement. Working with cross-functional teams, you'll establish quality controls and feedback loops that ensure our marketing experiences continuously evolve and improve, while scaling our ability to experiment and innovate.
This is a unique opportunity to shape the future of online retail at scale. You'll work with rich customer behavior data to build automated solutions that enhance millions of shopping journeys - from creating new ways to surface products, to developing systems that automatically detect and address experience gaps. If you're passionate about using data to solve complex problems, excited about building automated systems that scale excellence, and driven to create more engaging shopping experiences, we want to hear from you.
Key job responsibilities
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience in the data/BI space.
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
- 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.
- Experience in Statistical Analysis packages such as R, SAS and Matlab.
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.
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