Job description
Owl.co is a software company that enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America, and they are achieving incredible results through our AI-powered, evidence-based platform. We are on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.
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.
Responsibilities & Scope:
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.
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.
The compensation for this role is $20.00 per hour.
- Bring your friends on board! Help grow our team of top performers and receive a cash bonus through our uncapped, generous Employee Referral Program.
