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)
- Knowledge Object Oriented Programming, CI/CD and Coding Version Control Experience(i.e Git)
Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking an experienced Business Intelligence Engineer to support our LATAM BIE team.
We are seeking an experienced Business Intelligence Engineer to join our growing team. This person will own the production and delivery of a suite of reports regularly used by the organization to make key business decisions.
Key job responsibilities
- Be responsible for taking data analysis and insights capability to the next level; working with data infrastructure to ensure the data is accessible, auditing existing visualization dashboards, and working with stakeholders to recommend and create new reporting/insights
- Converting data into digestible business intelligence and actionable information
- Shaping and delivering key metrics, reports, and indicators by which our business will assess its performance
- Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages
- Working directly with business teams to utilize metrics and analysis to determine improvement opportunities Tools used include: 1. SQL (Oracle and Redshift) 2. ETL tools (internal) 3. Excel 4. Tableau 5. Python.
Heredia, H, CRI
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience with all phases of software lifecycle development, including design, implementation, deployment and maintenance