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

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

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.

Key job responsibilities

1. Own generating actionable insights through the development of metrics and dashboards.

2. Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.

3. Provide insights to our Canada business and Product Management teams as new initiatives are being identified, prioritized, implemented and deployed.

4. Develop clear communications for recommended actions.

5. Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.

6. Work to accelerate Amazon Business machine learning efforts to scale globally.

About the team

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.

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 :

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