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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

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.