QA Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Ensure the quality and dependability of data analytics products through thorough testing methodologies.

• Conduct detailed analyses to confirm data integrity, accuracy, and analytics insights.

• Collaborate with developers, business teams, data engineers, actuaries, underwriters, and business analysts to enhance product quality and data reliability.

• Create and implement data validation and quality assurance plans for insurance data pipelines, which include policy, claims, billing, and customer data.

• Execute data quality audits, detect anomalies, and lead root cause analysis processes.

• Design and implement automated checks for data quality in real-time and batch processing environments.

• Validate data feeds and transformations for regulatory reporting, actuarial models, and risk management frameworks.

• Establish data quality metrics, business rules, and SLA thresholds for crucial insurance datasets.

• Document test plans, QA findings, and remediation actions to align with compliance and audit standards such as NAIC and HIPAA.

• Provide QA oversight for underwriting systems, policy administration platforms, and claims processing workflows.

• Develop and enhance automation strategies for data processes, including addressing SQL timeouts.

• Mentor junior QA analysts and promote best practices in data governance and quality control.

⛳️ Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related discipline.

• A Master’s degree is an added advantage.

• 4+ years of experience in data QA, analytics, or engineering, preferably within the insurance or financial services sectors.

• Proficient SQL skills working with large-scale, complex insurance datasets.

• Practical experience with data quality frameworks, test automation tools, and scripting languages, such as Python.

• Solid understanding of insurance operations, data workflows, and compliance obligations.

• Capability to effectively communicate quality concerns to internal, external, and customer stakeholders.

• Competence in investigating, troubleshooting, and documenting data-related issues.

• Strong analytical, documentation, and communication abilities.

• Familiarity with insurance core systems is preferred.

• Knowledge of insurance data privacy laws and regulatory frameworks, including HIPAA and NAIC MCAS.

• Experience with data profiling and monitoring tools is preferred.

• A background in risk analysis, actuarial data, or predictive modeling QA is a significant advantage.

• Experience working in an Agile/Scrum environment.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.