DESCRIPTION Retail Pricing Drivers team drives the success of Amazon Retail. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
You will be joining Retail Pricing Data & Analytics Engineering team which consists of several Data Engineers and Business Intelligence Engineers.
We are looking for a highly analytical experienced Business Intelligence Engineer to help develop/build data solutions, generate automatic insights and leverage anomaly detection tools/technologies which will help Retail Pricing teams to deliver the best prices to our customers. Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions.
This position requires high judgment, excellent analytical abilities, a creative mind; it also offers broad exposure to various business, operational, financial, and technical teams across Amazon.
Key job responsibilities
- Identify opportunities and key criteria to drive analytical reporting, models and business strategy
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Building simple and effective infrastructure tools with scalability top of mind.
- Simplifying and automating reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Supporting business with time-critical tactical data analyses.
- Understanding a broad range of Amazon's data resources and know how, when, and which to use and which not to use.
We are open to hiring candidates to work out of one of the following locations:
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
