Posted on June 9, 2014
The responsibilities of a data analyst can range from simple data pulls to more complex analytics and modeling of business strategies. As ModCloth grows from a mid-sized company into a larger retailer, it becomes increasingly important that the company’s dedicated analysts have more time to explore the bounds of the company data in order to maximize impact and spend a slimmer margin of time simply pulling and delivering stored data to stakeholders. By investing time and effort to teach stakeholders how to use a Data Visualization GUI like Tableau, the data team at ModCloth has been able to give stakeholders the power to not just pull their own data, but to become master descriptive and exploratory analysts. My talk will focus on the lessons I have learned in teaching non-experts how to use Tableau among other tools and best practices I have come to employ when trying to engage potential “first-time analysts”.
Krystal St. Julien is a Data Analyst at ModCloth, a San Francisco-based online retailer known for its innovative social shopping experience, unique apparel and décor, and wide range of styles from independent designers. As a Data Analyst, Krystal is responsible for cleaning and mining data, automating company reporting, and deriving predictive models all in an effort to help make every team at ModCloth function in the most optimized and efficient manner possible. Prior to ModCloth, Krystal completed her Ph.D. in Biochemistry from Stanford University before switching industries. In order to smooth her transition, Krystal became a fellow of the Insight Data Science program which helped bridge the gap between academic science and industry analytics. Since joining ModCloth in September 2013, Krystal has focused on projects to aid the growth and efficiency of the business, which was named one of Fast Company’s “Most Innovative Companies 2013.
This presentation can also be seen at ieondemand.com