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Key job responsibilities
• Identify, develop and execute data analysis to uncover areas of business opportunity
• Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use
• Deep dive into massive data sets, build data pipelines using SQL and dashboards using QuickSight
• Present insights and recommendations to key stakeholders in both verbal and written form
• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation and project management
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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)
- Fluency in SQL, and deep understanding of ETL
- Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem
- Communication skills – Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
- Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Credit or risk management experience
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