Data Analyst

  • 35785
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Sep 6, 2019
  • Work with product and engineering to identify the highest-impact data products with the highest risk of inaccuracy.
  • Create processes to identify, prioritize, and illustrate data quality issues and remediation efforts.
  • Set standards of measurement and communicate data reconciliation results with stakeholders across the firm.
  • Establish data quality rules consistent with business strategy and goals.
  • Keep data consumers informed of the status of data quality issues as they arise.
  • Create, manage, and upgrade data stewardship processes to: Automate data quality checks. Keep track of changes to historical data. Find erroneous data and track new issues in a principled and timely manner.
  • Ensure derived data fields are correctly computed and uploaded.
  • Work with data science, engineering, and business teams to ensure model outputs match across research and production.
  • Act as data liaison between business leaders; partner with data producers/consumers to ensure assumptions are being satisfied.
  • Identify inefficiencies and inspire change across all data-dependent processes.
  • 3+ years of data management and/or governance experience.
  • Strong programming skills. Python preferred.
  • Knowledge of data cleansing, data quality measurement, and data profiling.
  • Experience with various forms of exploratory data analysis.
  • Attention to detail and remarkable organizational skills.