Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?

This is a difficult problem...and it happens more than 2 billion times per day!

The Amazon Pricing team is looking for a business intelligence engineer to own analytics our worldwide suite of Price Evaluation tools that answer the hypothetical question posed above and many more like it. As the BIE over our price evaluation tools, you’ll partner with our team of product managers, research scientists, data scientists, data engineers, and developers to build out the next generation of models that Amazon uses to evaluate prices. You will help identify and size false positives or new opportunities that improve upon a suite of tools that are designed to ensure products on Amazon have prices that are factually-based, competitively priced, and not 'too good to be true.'

In this role you will identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline, self-service tools and drive insights that improve our Price Evaluation tools.

The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.

The position is located in Seattle, WA.

As part of this role you will -
1. Work closely with the partner PMs, Data engineers and Data Scientists to identify and address issues and opportunities.
2. Facilitate and manage the Pricing Eligibility Services BIE sprint planning and execution process
3. Analyze key metrics to uncover trends and root causes of issues.
4. Build metrics to measure key inputs and output metrics that drive Amazon price perception
5. Develop deep dive tools for key metrics.


- 5+ 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 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, 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.