Data Analysis

What I find so satisfying about data analysis is the combination of logical deduction and thoughtful, context-based inference required to interpret its results. The analysis itself has very clear and well-established procedures, with standard routes to expected outcomes, it also allows for a lot of creative thought. In fact, the best analysts are those with experience across many different types of challenges, whose varied techniques give them perspective and insight into problem solving. 


The complex and frustrating nature of analysis is its own reward for a mind hungry for novelty and challenge. The subject of analysis, furthermore, often provides its own fascinating content. My own personal experience in the fields of public education and retail banking allow for a unique understanding of working with the public. In many ways, the two industries are similar; the services provided are valued very differently, but both involve interfacing with the public, providing excellent customer service, and perhaps surprisingly, sales. 


This experience gives me perspective into the analysis of behavioral and social phenomena, whether in data about rates of electricity usage, or choices people make about where to live, or how the time it takes parents to drop their kids off at school affects their views of the school district overall. 


These questions, and many more, are what drive me to seek actionable answers through data analysis. The patterns exist and are measurable. The datasets are abundant. Insights are there, ready to be extracted and weighed, made meaningful in context, and crafted into compelling narratives for stakeholders. This is the work I find motivating and fulfilling.


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