Amazon Sr Business Intelligence Engineer DfS Analytics 

United States, Massachusetts 

485280728

The BIE will understand capabilities and limitations of the systems they work with (e.g. cluster size, concurrent users, data classification). They are able to explain these limitations to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment (e.g., data pipeline doesn’t exist, report needs additional functionality, etc.). Code submissions and analytics approach to work must be exemplary. BI solutions are inventive, robust, scalable, extensible, and easy for others to maintain and build upon.
Key job responsibilities
Key job responsibilities
- Develop the PLC to Dashboard automation of pipelines for Machine Performance and Health metrics.
- Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets, culminating in extremely accurate financial modeling and forecasts.
-Reporting of results Exucutive groups via Exit Gate Reviews, QBR/MBR, OP1/2, etc.

- 7+ years of SQL experience
- 7+ years of professional or military experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with theory and practice of design of experiments and statistical analysis of results
- Knowledge of data warehousing and data modeling
- Experience with Mechatronics, Supply Chain Quality, Safety and Compliance, Lean Six Sigma, and Business Finance

- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience building measures and metrics, and developing reporting solutions
- - 10+ years of Business/Project Finance