Business Intelligence Engr II, Business Marketing Analytics; ABMA

Business Intelligence Engr II, Amazon Business Marketing Analytics (ABMA)

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying.

Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

We are central Amazon Business Marketing Analytics (ABMA) team for WW AB Marketing team. Our vision is to simplify and accelerate data driven decision making for AB Marketing by providing cost effective, easy & timely access to high quality data. Our core responsibilities towards AB marketing includes a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with self-service tools for deep dives & insights seeking.

The value construct of these capabilities is to enhance the speed of business decision-making by reducing the effort & time to access actionable data.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL 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

• Experience with AWS solutions such as EC2, Dynamo
  
  DB, 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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