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
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. If you'd like to help us build the place to find and buy anything online, this is your chance to make history.



This role has the responsibility of analyzing the business problem statements and requirements by put them into functional requirements that allow the development and implementation of tools and automated processes working with clients to define best output based on expressed stakeholder needs. Likewise, convert data to make it analysis
- ready through basic descriptive, aggregations, pivots and implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, and flashes).
- 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

📌 Business Intelligence Engineer , Business Intelligence Engineer (Ciudad de México)
🏢 Servicios Comerciales Amazon México S. De R. L. De C. V.
📍 Ciudad de México