About Amazon Advertising :
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy.
We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices.
We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
About our team :
BOLDx (Brands, OTT, Live Gaming, Display Advertising Experiences) is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, and personal.
The ideal candidate will excel in business and communication, collaborate with stakeholders to define key questions, analyze data across teams, and build scalable reporting solutions.
They should be eager to adopt new technologies, drive self-service reporting mechanisms, and quantify business impacts. Successful candidates will be analytical, detail-oriented, and possess strong problem-solving skills, along with a drive for ownership and efficiency.
We are open to hiring candidates to work out of one of the following locations :
New York, NY, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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
PREFERRED QUALIFICATIONS
- 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
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