Business Intel Engineer I, Carpool Latam
at Amazon
Posted 8 hours ago
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Join Amazon as a Business Intelligence Engineer I for the Carpool Latam team to build BI solutions, from data sets and queries to dashboards and analyses, that inform business decisions. You will translate well-defined requirements into end-to-end data products, create data structures, and write maintainable code, aiming for automation where possible. You will use analytics visualization tools (e.g., Tableau, QuickSight, Excel) and apply statistical methods to deliver actionable insights to stakeholders, while troubleshooting data, analyses, and code and driving next steps. Basic qualifications include 2+ years of data analysis experience and proficiency with scripting languages such as Python, Java, or R.
Key job responsibilities
As a business intelligence engineer, you will/may:
- Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data
- Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule
- Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)
- Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible
- Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders
- Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals
- Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
Basic Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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