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BIE, Fashion & Fitness Category Excellence

Job ID: 2882684 | Amazon.com Services LLC

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:

1. Design, develop and maintain scaled, automated, user-friendly reports, dashboards, etc. that will support our analytical and business needs for customer promise and operations.
2. Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
3. 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 more so than the typical BIE role. Key deliverables will be ad-hoc deep dives to support business reviews, standardizing/building reports and dashboards for deep dives, 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.

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 writing complex SQL queries

PREFERRED QUALIFICATIONS

• 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)