QA Data Analyst

This is a remote opportunity for an experienced and detail-oriented QA Data Analyst to join our team focused on enhancing data quality within the insurance data ecosystem. This role plays a vital part in ensuring the accuracy, consistency, and regulatory compliance of data that supports underwriting, claims processing, risk analysis, and business reporting. The successful candidate will collaborate closely with data engineers, actuaries, underwriters, and business analysts to uphold high standards of data integrity across both operational and analytical systems.

Key Responsibilities:
- Quality Assurance: Ensure the quality and reliability of data analytics products through comprehensive testing strategies.
- Data Analysis: Conduct 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 improve overall product quality.
- Requirements and Documentation: Communicate complex tasks and additional requirements clearly, ensuring all necessary information is included in documentation.
- Automation: Implement and refine automation strategies for data processes, addressing challenges such as SQL timeouts to maintain system efficiency.
- Develop and execute comprehensive data validation and quality assurance plans for insurance data pipelines, including policy, claims, billing, and customer data.
- Perform data quality audits, identify anomalies, and lead root cause analysis efforts to ensure data consistency across systems.
- Design and implement automated data quality checks to support 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.

Required Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field. A Master’s degree is a plus.
- Minimum of 4 years of experience in data QA, analytics, or engineering, preferably within the insurance or financial services industry.
- Advanced SQL skills with experience handling large-scale, complex data sets in insurance data environments 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.
- Effective communication skills to actively report quality issues regarding data collection, storage, processing, or usage to internal and external stakeholders.
- Proven ability to investigate, troubleshoot, and document data issues from both internal and external customers.
- Excellent analytical, documentation, and communication skills.

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

This role offers the chance to contribute significantly to data quality initiatives that impact critical insurance functions while working remotely in a collaborative and dynamic environment.