Business Intelligence Engineer (FTC), Davengers
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Analysis · Data Visualization
In short
We are seeking a Business Intelligence Engineer to compile and analyze data from multiple sources, presenting it in an actionable format for stakeholders. The role involves analyzing large datasets, identifying real-world problems, and building business cases to improve customer experience and program conversion.
Responsibilities
- Help make effective decisions based on data from multiple sources.
- Compile and triangulate data into a digestible and actionable format.
- Analyze data using reports, make sense of results, and explain findings to key stakeholders.
- Analyze large amounts of data, discover and solve real-world problems.
- Build metrics and business cases around key performance of this program.
- Use a customer backwards approach in deriving insights and identifying actions to improve customer experience and conversion.
- Perform day-to-day analytical solution building for Cross Border.
Requirements
- 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)
Desired Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Benefits
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
#Business Intelligence#Data Analysis#Data Visualization#SQL#ETL#Data Engineering