Consultant for data governance and quality, ensuring accuracy in surveillance data management. Focus on compliance, structured data monitoring, and reporting processes in a hybrid role.
Responsibilities
Define and monitor data quality indicators
Develop validation and cleaning scripts (SQL or R)
Conduct data quality assessments and audits
Support surveillance reporting and structured dataset generation
Prepare legacy datasets for migration
Ensure compliance with reporting obligations and data governance standards
Support KPI monitoring and UAT activities
Contribute to documentation and reporting procedures
Requirements
Degree in Data Management, Computer Science, or related field
Minimum 2 years of experience in data validation, governance, or quality projects
Advanced knowledge of SQL or R (certification or documented experience required)
Experience in dashboards and structured reporting
Fluent English (minimum B2 level)
Benefits
Strengthen structured data governance frameworks
Contribute to high-impact reporting processes
Work within a compliance-focused technical environment
Be part of a mission-driven digital transformation initiative
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