Data Analyst

  • 38562
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Nov 9, 2020
Insurance
RESPONSIBILITIES
  • Work with product and engineering to identify and enhance testing and auditing processes for pricing.
  • Create processes to identify, prioritize, and illustrate data quality issues and remediation efforts.
  • Keep data consumers informed of the status of data quality audits and issues as they arise.
  • Create, manage, and upgrade data stewardship processes, including automating data quality checks, historical tracking, and discovery of new issues in a principled and timely manner.
QUALIFICATIONS
  • 2-3 year’s model auditing & data validation experience, preferably in an insurance environment.
  • Knowledge of data cleansing, data quality measurement, and data profiling.
  • Strong background with Python, with working knowledge of SQL.
  • Exceptional attention to detail and organizational skills.
  • Strong communication skills, particularly conveying technical ideas to non-technical audiences.