Business Intelligence Engineer

Pay rate range - $55/hr. to $60/hr. on W2 Onsite role Must Have - Expert Python and SQL Visualization and development Required Skills - 5-7 years of experience working with large-scale complex datasets - Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions - Strong working knowledge of SQL - Background (academic or professional) in statistics, programming, and marketing - SAS experience a plus - Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable. - Excellent communication skills, equally adept at working with engineers as well as business leaders Daily Schedule - Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention - Statistical testing of A/B and multivariate experiments - Design, build and maintain metrics and reports on program health - Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis - Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base - Participate in strategic and tactical planning discussions About the role understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage client's vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable