Job Description

Position Overview

Quandri is seeking a meticulous and detail-oriented Data Quality Assurance Analyst to ensure the accuracy, integrity, and quality of data across its products. This role involves working closely with the product team to identify data issues, perform data validation, and implement quality assurance processes to support data-driven decision-making.

Company Information

Quandri's mission is to unlock the world's insurance data, enabling brokerages and agencies to best serve their clients. Their Renewal Intelligence Platform helps brokerages save time, increase profitability, and drive better outcomes. The company experienced 3x ARR growth last year and was recognized as one of LinkedIn’s Top Canadian Startups in 2024. Quandri is transforming the insurance industry with AI-driven automation for renewals, trusted by 5 of Canada’s top 10 brokerages. They operate on a hybrid model, with an office in Gastown, Vancouver, requiring team members there to be in the office three days a week. Quandri fosters a diverse culture, likening its team to "Quandronauts" on an interstellar mission, and has secured venture capital funding to support its scaling efforts.

Responsibilities

• Quality Checks: Perform routine quality checks to identify product discrepancies and inconsistencies.
• Collaboration: Collaborate with cross-functional teams, including product and customer experience, to identify quality improvement opportunities and ensure timely resolution of issues.
• Documentation: Maintain detailed records of data quality issues, testing procedures, and resolutions.
• Reporting: Generate reports on data quality metrics and trends to support product improvement initiatives.
• Continuous Improvement: Assist in developing and refining data quality processes and standards.

Requirements

• Experience: 3+ years of experience in Personal Lines Insurance within Canada.
• Industry Knowledge: Strong understanding of Canadian Personal Lines Insurance industry practices, regulatory standards, and customer service expectations.
• Technical Skills: Proven expertise in policy administration systems, underwriting workflows, and renewal processing logic.
• Data Acumen: Demonstrated ability to identify inaccuracies and inconsistencies in policy data, endorsements, and renewal outputs with a high degree of precision.
• Insurance Documentation: Deep understanding of insurance documents, including coverage terms, rating inputs, and the process by which policies are reviewed and updated during renewal.
• Renewal Process: Comprehensive knowledge of the renewal process.

Employment Type

Contract

Location Type

Not specified

Salary

Not specified