QA Data Analyst

This remote position seeks an experienced and detail-oriented QA Data Analyst to support data quality initiatives within an insurance data ecosystem. The role is vital for ensuring the accuracy, consistency, and regulatory compliance of data that underpins underwriting, claims processing, risk analysis, and business reporting. The successful candidate will work closely with data engineers, actuaries, underwriters, and business analysts to maintain high standards of data integrity across 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: Partner 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 optimize system efficiency.
- Develop and execute 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 compliance with 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; Master’s degree is a plus.
- Minimum of 4 years’ experience in data QA, analytics, or engineering, preferably within the insurance or financial services industry.
- Advanced SQL skills with experience handling large-scale, complex insurance data sets such as policy, claims, and rating data.
- Practical experience with data quality frameworks, test automation tools, and scripting languages like Python.
- Strong understanding of insurance operations, data workflows, and compliance requirements.
- Ability to effectively communicate data quality issues to internal and external stakeholders.
- Skilled in investigating, troubleshooting, and documenting data issues reported by customers.
- 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 or Scrum environments.

This role offers the opportunity to contribute significantly to the integrity and compliance of critical insurance data, working within a collaborative and dynamic remote setting.