Revenue Science Fellow

Description

This role is for an experienced professional in leading analytics for large-scale enterprise-level business initiatives. The primary focus of the position is to derive enterprise-level insights across various business dimensions and design business strategies to support the company’s global strategies. Leads teams and collaborates with various management levels across the enterprise to analyze data and generate actionable insights. Represents the department in strategy discussions and providing strategic guidance and business recommendations to executive management. Demonstrates expertise in computer-aided decision support, programming languages (SAS, SQL, Python, etc.), relational databases, and visualization tools. Identifies new tools and technologies to enhance productivity and statistical modeling capabilities for the team and department. Trains junior professionals in quantitative data analysis, deriving business insights, and utilizing computer resources. Assists the manager in onboarding new hires. Perform other duties as assigned. 

Requirements 

Master’s degree in Business, Mathematics, Economics, Computer Science or related quantitative fields such as engineering or operations research required plus 4 years of experience in the job offered or 4 years of any occupation in which the required experience can be obtained. The employer will alternatively accept a PhD degree in Business, Mathematics, Economics, Computer Science or related quantitative fields such as engineering or operations research required plus 1 year of experience in the job offered or 1 year of any occupation in which the required experience can be obtained in lieu of a Master's degree plus 4 years of experience. The position requires experience with: Proficiency in SAS or SQL, UNIX, or any fourth-generation programming language. Project management experience. Strong human relations, communication, and analytical skills. Business Performance Management and Strategy Development by connecting Competitive Strategy, Economic Indicators, Pricing Information and Customer Segmentation; Customer Analytics and Statistical Modeling. Position can telecommute from home from any location in the U.S.