The ideal candidate is comfortable with R statistical software, hypothesis and A/B testing and deploying machine learning models into production. You will be responsible for both discrete analytical projects and improving and maintaining data infrastructure. In this role, you will perform exploratory analysis on client data and employ statistical techniques to improve client digital results. Though part of the data analytics team, this role will collaborate across teams and with clients directly to understand business problems, industry context, data sources, and potential risks and constraints. You will take an active role in deciding the most efficient and effective ways for a client to maximize engagement with digital assets.
? Experience with Excel, SQL, R, Python, Hadoop, PowerBI
? Comfortable dealing with different tasks each day, ranging from trend analysis of data in a traditional data warehouse, data curation, enrichment and cataloging as well as advanced statistical analysis of cross-functional aggregated data sets.
? Background in advanced analytics, customer segmentation, and predictive modeling.
? Record of Results
? Excellent written, oral communication, and presentation skills and the ability to interact with both business and technical owners
? Proven experience driving numerous parallel initiatives.
? A team player, who can think quickly on their feet, can navigate a large organization and get things done.
? BA/BS degree or equivalent (Masters in Math or equivalent a plus)
5 plus years' experience