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Data Quality Analyst - Remote

Posted 8 weeks ago
Data Analysis
Part Time
Canada
20.00CAD/hour

Overview

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity and accuracy of insurance claims processing. Pulling from open data sources, you will support our clients in monitoring, detecting, and preventing potential illegitimate claims.

In Short

  • Conduct investigations utilizing open data sources and in partnership with Owl’s AI.
  • Ensure findings are inputted logically, leveraging our internal platform to guide the process.
  • Analyze external claimant data for quality, completeness, and accuracy.
  • Efficiently utilize time and resources to deliver high-quality results that maximize value for the company.
  • Maintain the security and confidentiality of sensitive information.
  • Operate within company security and disclosure guidelines.

Requirements

  • Must be available 25-30 hours per week.
  • Previous experience in open-source content research.
  • Ability to work independently in a remote environment.
  • Strong written and verbal communication skills for documenting research findings effectively.
  • Very comfortable on the computer - ability to type quickly, utilize various search functions and keyboard shortcuts.
  • Analytical thinker with the ability to exercise creative problem-solving during investigations.
  • Ability to adapt quickly to evolving technologies and system processes.

Benefits

  • Bring your friends on board! Help grow our team of top performers and receive a cash bonus through our uncapped, generous Employee Referral Program.
owl.co logo

owl.co

Owl.co is a cutting-edge software company dedicated to empowering insurers in the fight against illegitimate claims through an AI-powered, evidence-based platform. Serving top insurance companies across North America, Owl.co aims to transform the traditionally manual claims process into a more equitable and efficient system by leveraging state-of-the-art machine learning and natural language processing methods. With well-funded operations and engineering offices located in New York City, Toronto, and Vancouver, Owl.co is committed to ensuring the integrity and accuracy of insurance claims processing while maintaining the security and confidentiality of sensitive information.

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