QA Data Analyst

This remote role seeks an experienced and detail-oriented QA Data Analyst to support data quality initiatives within an insurance data ecosystem. The position plays a vital role in ensuring data accuracy, consistency, and regulatory compliance across underwriting, claims processing, risk analysis, and business reporting functions. The successful candidate will collaborate closely with data engineers, actuaries, underwriters, and business analysts to uphold high standards of data integrity in both operational and analytical systems.

Key Responsibilities:
- Quality Assurance: Develop and execute comprehensive testing strategies to ensure the quality and reliability of data analytics products.
- Data Analysis: Perform in-depth analysis to validate data integrity, accuracy, and the insights generated by analytics processes.
- Collaboration: Work closely with developers, business teams, and other stakeholders to streamline testing efforts and enhance overall product quality.
- Requirements and Documentation: Clearly communicate complex tasks and additional requirements, ensuring thorough documentation is maintained.
- Automation: Implement and refine automation strategies for data processes, addressing challenges such as SQL timeouts to maintain system efficiency.
- Develop and execute detailed data validation and quality assurance plans for insurance data pipelines, including policy, claims, billing, and customer data.
- Conduct data quality audits, identify anomalies, and lead root cause analysis to ensure consistency across systems.
- Design and implement automated data quality checks supporting both real-time and batch processing environments.
- Validate data feeds and transformations related to regulatory reporting, actuarial models, and risk management frameworks.
- Collaborate with cross-functional teams to define data quality metrics, business rules, and SLA thresholds for critical insurance datasets.
- Document test plans, QA findings, and remediation actions in alignment with compliance and audit standards such as NAIC and HIPAA.
- Provide QA oversight on data projects involving underwriting systems, policy administration platforms, and claims processing workflows.
- Mentor junior QA analysts and promote best practices in data governance and quality control.
- Actively communicate quality issues related to data collection, storage, processing, or usage to internal and external stakeholders.
- Investigate, troubleshoot, and document data issues reported by customers or internal teams.

Required Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field; Master’s degree is a plus.
- Minimum of 4 years’ experience in data QA, analytics, or engineering, preferably within the insurance or financial services sectors.
- Advanced SQL skills with experience handling large-scale, complex insurance data sets such as policy, claims, and rating data.
- Hands-on experience with data quality frameworks, test automation tools, and scripting languages like Python.
- Strong understanding of insurance operations, data workflows, and compliance requirements.
- Excellent analytical, documentation, and communication skills.

Preferred Qualifications:
- Experience working with insurance core systems.
- Knowledge of data privacy laws and regulatory frameworks relevant to insurance, including HIPAA and NAIC MCAS.
- Familiarity with data profiling and monitoring tools.
- Background in risk analysis, actuarial data, or predictive modeling QA is highly desirable.
- Experience working in Agile/Scrum environments.

This role offers the opportunity to contribute significantly to data quality and governance within a complex insurance data environment, collaborating with diverse teams to drive continuous improvement and compliance.