Amazon - Seattle, WA

posted about 2 months ago

Full-time - Mid Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Senior Business Intelligence Engineer to build models and algorithms for procurement, selection, marketing, and pricing tools in grocery management. This role is both creative and data-driven; we need someone who can review our current infrastructure, isolate improvement opportunities, and help us think big about what to consider in terms of localization, scalability, commodity management, and long-term automation. The successful candidate will scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities. You will also be responsible for producing insights that will help shape effective strategies to better meet our customers' needs. You will work closely with internal teams and partners across the grocery business line and other partner teams in these areas to provide decision support in this rapidly evolving space. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions, and the ability to work with technology, product development, and business teams. The ideal candidate will have a passion for data and analytics, be a self-starter comfortable with ambiguity, possess strong attention to detail, and have the ability to work in a fast-paced and entrepreneurial environment, driven by a desire to innovate Amazon's approach to this space.

Responsibilities

  • Develop new and innovative analyses to inform product strategy and design.
  • Analyze relevant business information, uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.
  • Develop clear communications for recommended actions.
  • Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.
  • Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.

Requirements

  • 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.

Nice-to-haves

  • 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.

Benefits

  • Full range of medical benefits
  • Financial benefits including equity and sign-on payments
  • Comprehensive employee benefits package
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