Senior Data Quality Lead

5 days ago

Lahore, Punjab, Pakistan beBeeDataQuality Full time $110,000 - $130,000

We are seeking a seasoned and meticulous Senior Data Quality Analyst to spearhead data quality initiatives within our insurance data ecosystem. This role plays a pivotal part in ensuring the accuracy, consistency, and regulatory compliance of data that drives underwriting, claims processing, risk analysis, and business reporting. The ideal candidate 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:
  • Data Validation: Conducting comprehensive testing strategies to ensure the quality and reliability of data analytics products.
  • Data Analysis: Validating data integrity, accuracy, and insights generated by analytics processes through in-depth analysis.
  • Collaboration: Working closely with developers, business teams, and other stakeholders to streamline testing efforts and improve overall product quality.
  • Requirements and Documentation: Communicating complex tasks and requirements clearly and ensuring thorough documentation.
  • Automation: Implementing and refining automation strategies for data processes, including addressing SQL timeouts to maintain system efficiency.

The selected candidate will develop and execute comprehensive data validation and quality assurance plans for insurance data pipelines, including policy, claims, billing, and customer data. They will perform data quality audits, identify anomalies, and lead root cause analysis efforts to ensure data consistency across systems. Furthermore, they will design and implement automated data quality checks to support real-time and batch processing environments. Additionally, they will validate data feeds and transformations related to regulatory reporting, actuarial models, and risk management frameworks. The successful candidate will also collaborate with cross-functional teams to define data quality metrics, business rules, and SLA thresholds for critical insurance datasets. They will document test plans, QA findings, and remediation actions in alignment with compliance and audit standards (e.g., NAIC, HIPAA). The position requires QA oversight on data projects involving underwriting systems, policy administration platforms, and claims processing workflows. The successful candidate will also mentor junior QA analysts and advocate for best practices in data governance and quality control.

Required Skills and Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field. Master's degree is a plus.
  • 8+ years of experience in data QA, analytics, or engineering—ideally in the insurance or financial services industry.
  • Advanced SQL skills with experience working on large-scale, complex data sets in insurance data environments (e.g., policy, claims, rating data).
  • Hands-on experience with data quality frameworks, test automation tools, and scripting languages (e.g., Python).
  • Understanding of insurance operations, data workflows, and compliance requirements.
  • Strong analytical, documentation, and communication skills.

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