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
Are you looking for a new challenge in a fast-paced, innovative company? Come make history in Amazon's LATAM team! We are looking for talented Business Intelligence Engineer for Amazon Marketplace. Amazon strives to be Earth's most customer-centric company, where people can find and discover virtually anything they want to buy online. Over 2 million sellers in 10 countries list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon's ecosystem to deliver on our vision of offering the Earth's largest selection and lowest prices.
Key job responsibilities
- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use.
- Work closely with the team to understand business challenges and provide data/analysis for better decision making.
- Design and create the reports and metrics for tracking business and product success.
- Build self-service reporting platforms, establishing automated processes for large scale data analyzis.
- Understand and write high quality SQL queries to retrieve and analyze data.
- Extract, Transform and Load data to build new reporting solutions.
- Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.
About the team
LATAM Marketplace BI team is responsible for ensuring our stakeholders and leaders have the data they need to make data-driven decisions and drive the success of our business.
We are structured into verticals (business topics) and promote knowledge sharing in between those topics every week.
In our team, a Business Intelligence Engineer can be responsible for 1 or more business verticals, driving his BI projects end to end, this involves: setting up the BI roadmap, managing stakeholders, diving deep on data for that topic and designing and building SQL Tables, KPIs, reports, dashboards and analysis.
Mexico City, DIF, MEX
- 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