• 36959
  • Non-Life - Data Science
  • |
  • Georgia, United States
  • |
  • Mar 9, 2020
  • Identify business units or functional area needs that can be addressed with Data and/or Analytics assets. The business case includes dollar amount saved or revenue generated through the implementation of analytics.
  • Work with the rest of the Analytics and/or Data Services teams for the delivery of data analytics projects, initiatives, requests and efforts.
  • Setup regular meetings with stakeholders to provide status update or change priorities.
  • Establish a plan for regular communication of relevant business and consumer insights to the appropriate teams.
  • Deliver effective and compelling communication across the organization to ensure that insights impact the business decision process.
  • Lead teams of Business Coordinators, Data Experts and Analysts to leverage best practices of data analytics reporting technology and methodology throughout the whole organization.
  • Bachelor’s Degree in Statistics, Economics, Applied Mathematics, Computer Science, Information Management or related. Master’s Degree is preferred.
  • 15+ years of experience in business analysis, research, statistics, applied mathematics, data management, business intelligence, or related fields.
  • 7+ years of experience in managing / leading experienced technical teams.
  • Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
  • Ability to provide innovative approach to problem solving and demonstrate a track record of such.
  • Understanding of statistical analyses, such as predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, retention, etc.
  • High level of intelligence, a quick study of complex problems and a well-organized approach to finding impactful solutions.
  • One who is fact-based in approach and who naturally sets/measures performance against clear metrics.
  • Six Sigma Black Belt experience.
  • CX / Customer User Experience.
  • 10+ years of experience in data analysis that includes translating insights into recommendations.
  • Experience in a world-class property and casualty, mortgage or financial services company.