Provide independent validation and quality assurance across enterprise data platforms, business processes, and reporting solutions.
Ensure the accuracy, completeness, reliability, and regulatory compliance of critical business data.
Partner closely with business stakeholders, data engineers, data architects, product owners, compliance teams, and operational teams to validate business requirements.
Identify data quality risks and ensure enterprise data solutions meet business and regulatory expectations.
Independently assess data quality across source systems, transformations, integrations, reporting platforms, and downstream consumers while driving continuous improvement in enterprise data quality practices.

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience considered.
6+ years of experience in one or more of the following areas: Data Quality Analysis, Data Warehousing, Business Systems Analysis, Data Governance, Quality Assurance, Data Testing, Business Process Validation, Insurance industry experience (P&C and/or Life Insurance).
Experience supporting enterprise data warehouse environments.
Demonstrated expertise in: Data quality management principles and methodologies, end-to-end business process testing, data warehouse validation and reporting verification, data reconciliation and data profiling techniques, SQL querying and data analysis, root cause analysis and problem-solving methodologies, test planning, test design, and test execution, requirements analysis and requirements traceability, data governance and data stewardship practices, regulatory, compliance, and audit-related data validation, production incident investigation and resolution support, data lineage, metadata, and data quality controls, relational database concepts and data modeling, validation of ETL/ELT processes and enterprise data pipelines.

Senior Data Systems Analyst

Key skills