Digital Data Analyst - The Wirecutter





Data ScientistUnspecified21/08/2015The WirecutterAnalyticsGoogle AnalyticsRMatlabSASSQLSpreadsheetsData SkillsExpertly analyzes user trends and modalities using leading analytics platforms like Google Analytics and Adobe Marketing Suite (SiteCatalyst, Test & Target).5+ years experience with GA or equivalent platform (GA is a must).GA certification is a plus.Experience in and ability to recommend, architect, document, and deploy implementation of the above suites.Experience running QA on tagging implementations.Experience building and deploying complex data warehousing and business intelligence frameworks using tools like Amazon Redshift and Looker.Familiarity with Amazon Affiliate analytics is a plus.Experience with an analysis tool such as R, MATLAB, or SAS.Experience with relational databases and SQL.Expert understanding of Excel.Experience with data mining, customer segmentation, cohort identification, and predictive modeling.Ability to understand customer experience through data analysis and work with various disparate data sources to develop a customer experience performance scorecard.Experience working with either a publisher/media environment or ecommerce/affiliate-oriented organization.Familiarity working with editorial and product teams and developing insights specific to those teams.Experience serving as a liaison to business, technology, and editorial stakeholders.Comfortable at providing ongoing education on GA and other related tools to enable efficient self-service reporting for editors as well as assisting with larger scope insights.Strong project management skills.Strong written and verbal communication skills and extreme attention to detail; able to communicate complex quantitative analysis in a clear, precise and actionable mannerThis person will not be limited to standard business analysis. We are looking for a well-rounded data enthusiast with a passion for great content and great user experiences who can use data to help drive decisions in all key departments. Our ideal candidate is a self-motivated problem solver that deeply loves data and has work experience analyzing and learning from internal and external media and e-commerce data segments. This person should feel comfortable solving and communicating complex quantitative analysis in a clear, precise, and actionable manner, and they should understand how data and conclusions drawn from data connect to the broader goals of a business. Candidates should also have an expert understanding of the analytics product landscape and be fully self-sufficient when it comes to architecting and implementing collection schemas to capture salient information.Applyhttp://thewirecutter.comYes