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Key job responsibilitiesKey job responsibilities
• Collect, analyze and present actionable data to drive business decisions at a junior level
• Ensure data accuracy in internal data pipelines and validate data for new and existing products.
• Write high quality code to retrieve and analyze data using SQL, and scripting language (e.g. Python)
• Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives. This includes data analysis for program launches and its impact on the business.
• Learn and understand a broad range of Amazon's data resources (including AWS services) and make use appropriately
• Serve as liaison between the business and technical teams to support future improvements or innovation.
• Prioritize analytical problem statements to ensure the Team works on the highest impact projects and earn stakeholder trust.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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)
- Experience with SQL
- Experience in the data/BI space
- 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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