About the role
About FlightSafety International
FlightSafety International is the world’s premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world’s largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.
Purpose of Position
The Lead Data Quality Analyst is a strategic role responsible for driving enterprise-wide data quality initiatives, ensuring the accuracy, consistency, and reliability of data assets. This role leads the development and implementation of data quality frameworks, collaborates with cross-functional teams, and plays a key role in data governance and master data management (MDM) efforts. The Lead Analyst will work closely with data engineers, stewards, governance teams, and business stakeholders to establish standards, monitor data quality, and ensure alignment with organizational data strategy.
Tasks and Responsibilities
Lead the design and implementation of enterprise data quality frameworks, rules, and validation processes
Collaborate with engineering teams to validate complex ETL/ELT pipelines, Delta Lake tables, and data transformations
Define and monitor data quality KPIs across structured and unstructured data sources
Develop and maintain automated data quality monitoring systems, including alerts, thresholds, and dashboards
Conduct advanced data profiling and root cause analysis to identify and resolve data quality issues
Establish and enforce data quality standards, issue resolution workflows, and documentation practices
Partner with Data Governance teams to align data quality efforts with governance policies and data stewardship models
Support Master Data Management (MDM) initiatives by ensuring consistency and accuracy of critical data domains
Collaborate with business units to define data ownership, stewardship roles, and data quality…
