
Data Integrity Specialist
2 days ago
We are looking for a detail-driven Senior Data Quality Lead to ensure the accuracy, consistency, and regulatory compliance of data that drives underwriting, claims processing, risk analysis, and business reporting.
This role is crucial in leading data quality initiatives within our insurance data ecosystem. You will collaborate closely with data engineers, actuaries, underwriters, and business analysts to ensure high standards of data integrity across operational and analytical systems.
Key Responsibilities:- Quality Assurance: Ensuring the quality and reliability of data analytics products through comprehensive testing strategies.
- Data Analysis: Conducting in-depth analysis to validate data integrity, accuracy, and insights generated by analytics processes.
- Cross-Functional Collaboration: Working closely with developers, business teams, and other stakeholders to streamline testing efforts and improve overall product quality.
You will be responsible for developing and executing comprehensive data validation and quality assurance plans for insurance data pipelines, including policy, claims, billing, and customer data. Additionally, you will perform data quality audits, identify anomalies, and lead root cause analysis efforts to ensure data consistency across systems.
You will also design and implement automated data quality checks to support real-time and batch processing environments. Furthermore, you will validate data feeds and transformations related to regulatory reporting, actuarial models, and risk management frameworks.
The ideal candidate will have advanced SQL skills with experience working on large-scale, complex data sets in insurance data environments. They will also have hands-on experience with data quality frameworks, test automation tools, and scripting languages.
As a Senior Data Quality Lead, you will mentor junior QA analysts and advocate for best practices in data governance and quality control. You will actively communicate quality issues to internal and external stakeholders and investigate, troubleshoot, and document data issues from internal and external customers.
We seek a seasoned professional with 8+ years of experience in data QA, analytics, or engineering—ideally in the insurance or financial services industry. A Bachelor's degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field is required. A Master's degree is a plus.
Requirements:
- Advanced SQL skills with experience working on large-scale, complex data sets in insurance data environments.
- Hands-on experience with data quality frameworks, test automation tools, and scripting languages.
- Understanding of insurance operations, data workflows, and compliance requirements.
- Strong analytical, documentation, and communication skills.
PREFERRED QUALIFICATIONS:
- Experience with insurance core systems.
- Working knowledge of data privacy laws and regulatory frameworks applicable to insurance.
- Exposure to data profiling and monitoring tools.
We offer a mid-senior level position with a full-time employment type. This role is suitable for those with a background in risk analysis, actuarial data, or predictive modeling QA. Experience working in an Agile/Scrum environment is a strong plus.
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