QA Data Analyst - Insurance Data Quality

About the role

A remote QA Data Analyst position focused on data quality initiatives within an insurance data ecosystem. The role ensures the accuracy, consistency and regulatory compliance of data used in underwriting, claims processing, risk analysis and business reporting, working with data engineers, actuaries, underwriters and business analysts.

Key responsibilities

• Develop and run data validation and quality assurance plans for insurance data pipelines covering policy, claims, billing and customer data
• Perform data quality audits, identify anomalies and lead root cause analysis
• Design automated data quality checks for real-time and batch processing, and validate feeds and transformations for regulatory reporting, actuarial models and risk management
• Define data quality metrics, business rules and SLA thresholds with cross-functional teams
• Document test plans, QA findings and remediation actions in line with compliance and audit standards such as NAIC and HIPAA
• Provide QA oversight on underwriting systems, policy administration platforms and claims processing workflows
• Mentor junior QA analysts and advocate for data governance and quality control best practices

Required profile

• Bachelor's degree in Data Science, Computer Science, Information Systems, Actuarial Science or a related field; Master's a plus
• 4+ years of experience in data QA, analytics or engineering, ideally in insurance or financial services
• Strong analytical, documentation and communication skills
• Preferred: experience with insurance core systems, data profiling and monitoring tools, risk analysis or actuarial data background, and Agile/Scrum experience

Required skills

• Advanced SQL on large insurance data sets (policy, claims, rating)
• Data quality frameworks, test automation tools and scripting languages such as Python
• Understanding of insurance operations, data workflows and compliance requirements