Owl.co

Data Quality Analyst (Fraud Investigation)

Toronto, Ontario, Canada

Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Insurance, Fraud Prevention, Data & AnalyticsIndustries

Requirements

Candidates should possess previous experience in open-source content research, and demonstrate the ability to work independently in a remote environment. Strong written and verbal communication skills are required for documenting research findings effectively, along with comfort utilizing computers, including typing quickly and employing various search functions and keyboard shortcuts. Analytical thinking and creative problem-solving skills are necessary, as is the ability to adapt quickly to evolving technologies and system processes. Proficiency in French is an asset.

Responsibilities

As a Data Quality Analyst, you will conduct investigations utilizing open data sources and in partnership with Owl’s AI, ensuring findings are inputted logically and leveraging the internal platform to guide the process. You will analyze external claimant data for quality, completeness, and accuracy, efficiently utilizing time and resources to deliver high-quality results that maximize value for the company, while maintaining the security and confidentiality of sensitive information and operating within company security and disclosure guidelines.

Skills

Open-source content research
Data analysis
Investigative skills
Computer proficiency
Search functions
Keyboard shortcuts
Communication skills
Problem-solving
Adaptability
French (preferred)

Owl.co

Customer insight solutions for insurance claims

About Owl.co

Owl.co provides customer insight solutions tailored for the insurance industry, focusing on improving the claims process for bodily injury claims. The platform uses data analytics and machine learning to analyze both structured and unstructured data, allowing insurance companies to access unbiased information about claimants. This helps insurers make quicker and more informed decisions, ultimately leading to faster resolutions for claimants. Unlike its competitors, Owl.co emphasizes accuracy and efficiency in claim processing, addressing common issues such as delays and incorrect decisions that many claimants face. The company's goal is to streamline the claims process, ensuring that decisions benefit both insurers and claimants, resulting in a more efficient and fair experience.

Vancouver, CanadaHeadquarters
2018Year Founded
$32.7MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise Software, Financial ServicesIndustries
51-200Employees

Benefits

Competitive compensation
Stock options
Medical, dental, vision, & disability insurance
401k
PTO
Personal development
Hybrid working environment

Risks

Emerging insurtech startups pose a threat to Owl.co's market share.
Rapid tech advancements may strain resources to keep the platform competitive.
Data privacy concerns could impact operations due to regulatory scrutiny.

Differentiation

Owl.co uses AI to detect non-eligible insurance claims efficiently.
The platform aggregates data from trusted sources for unbiased customer insights.
Owl.co's SaaS model offers scalable and flexible service delivery for insurers.

Upsides

Owl.co raised $30M to expand its workforce by 20% in North America.
Integration of AI-driven analytics enhances proactive fraud detection capabilities.
Growing demand for real-time data processing aligns with Owl.co's platform strengths.

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