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Data Quality Analyst

Owl.co

full-remotemidpermanentdata Toronto, Toronto, Ontario, Canada 4 days ago via RemoteOK
20 - 20 USD/daily

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Tags

Data QualityData AnalysisOpen-Source ResearchInsurance ClaimsInvestigationRemote WorkDocumentationData IntegrityResearchConfidentiality

About the role

Role: Data Quality Analyst

You will help ensure the integrity and accuracy of insurance claims processing by investigating and assessing the quality of external claimant data.

Responsibilities

  • Conduct investigations using open data sources and in partnership with Owl’s AI.
  • Input findings logically using Owl’s internal platform to guide the process.
  • Analyze external claimant data for quality, completeness, and accuracy.
  • Manage time/resources to deliver high-quality results that maximize value.
  • Maintain security and confidentiality of sensitive information.
  • Follow company security and disclosure guidelines.

Requirements

  • Available to work at least 15 hours/week (part-time, 15–30 hours/week).
  • Prior experience in open-source content research.
  • Ability to work independently in a remote environment.
  • Strong written and verbal communication for documenting findings.
  • High computer comfort: fast typing, ability to use search functions and keyboard shortcuts.
  • Analytical mindset with creative problem-solving for investigations.
  • Ability to adapt to evolving technologies and processes.
  • Secure, reliable internet connection for the remote role.

Compensation & Work Details

  • $20.00/hour
  • Remote, part-time (15–30 hours/week)
  • Employee referral program with cash bonus

About Owl.co

Owl.co builds applied AI systems for high-stakes, real-world decision making. Its platform ingests and reasons over large, messy data to provide evidence with constraints around fairness, auditability, and low bias, with current production deployments in the insurance claims space across major North American carriers.

Scraped 7/23/2026