Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

As a BIE, you'll uncover business insights using product data that will help us make strategic decisions both for short term priorities and long term investments. You'll be working with the tech leaders to identify gaps in our data practices and help address them. You will partner with PMs, Solution Architects, TPMs and other stakeholders to run data analysis for some of the challenging customer problems.

Key job responsibilities

Develop and lead design and execution of reporting solutions for product data
Work with product managers, data engineers, data scientists, and software engineers to define reporting needs
Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.
Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.
Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussions
Internal job description
To apply for this role, candidates must initiate an informational meeting with the hiring manager by clicking the "Request Informational" button at the top of the job listing..
For more on informational discussions, visit: https://ivy-help-center.talent.a2z.com/article/2gLzMFp5I3TMfchHDv03w2?ref=share-button
To understand the internal transfer process and frequently asked questions, refer to: https://ivy-help-center.talent.a2z.com/article/5TdnwN6zJXjHvREhjtTdAJ?ref=share-button
Visit our Internal Candidate Resource for fast answers to frequently asked questions (FAQs) from pre-application to pre-offer stages of the internal transfer process within My HR. Note, this resource is currently accessible for WWAS employees only. Internal Candidate Resource Center: https://atoz.amazon.work/myhr/category/my_employment/type/internal_transfers- 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- 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

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.