In this role, the selected candidate will analyze large complex, multi-dimensional datasets and present analytical storyboards; develop prototypes, evaluate new analytics technology and introduce best practices.
In this role, the selected candidate will be responsible for modeling complex engineering and operational problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
In this role, the candidate will explore and examine data from multiple diverse data sources Conceptual modeling, statistical analysis, predictive modeling and optimization design Understand and work around limitations in analytic models Data cleanup, normalization and transformation.
In this role, you will support opportunity evaluation and tradespace, including evaluation of alternate business models and future scenarios;everage the tools developed above into existing business operations, demonstrating value via immediate financial, and long term strategic, impact.
The successful candidate will need to be able to present back their findings to the business by focusing on the specific business value while exposing their assumptions and validation work in a way that can be easily understood by the business stakeholders.
The right candidate will have an understanding of direct marketing principles, and will have a demonstrated interest in and facility with test and learn strategies and data analysis; further, they will demonstrate analytic curiosity, wanting to understand the why behind the what.