BIE, Fashion & Fitness Category Excellence

Amazon Fashion & Fitness drives multiple core and advance science initiatives. We are hiring a Business Intelligence Engineer (BIE) to join the Fashion & Fitness team to help us accelerate our efforts to improve Pricing Strategy. This person will own reporting and build new business intelligence solutions end-to-end. The ideal candidate will be a self-starter and have foundational knowledge of pricing and finance concepts (e.g., margin). They will be passionate about working with big data sets, and will have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.

Key job responsibilities
The primary responsibilities of this role include:

*Design, develop and maintain scaled, automated, user-friendly reports, dashboards, etc. that will support our analytical and business needs for customer promise and operations.

*Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.

*Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis moreso than the typical BIE role. Key deliverables will be adhoc deep dives to support business reviews, standardizing/building reports and dashboards for deep dive, and creating new metrics or attribution for bridging.

The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.- 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 writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with pricing and/or finance concepts (e.g., margin)

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.