Purpose of the Role
To validate data integrity, accuracy, and functionality during the migration of SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on DPS AWS. The Data Test Analyst ensures that migrated data and processes meet business requirements and comply with the clients’ standards.
Key Responsibilities: Test Planning & Design
- Develop detailed test plans and cases for data migration, transformation, and validation.
- Define acceptance criteria for migrated datasets and analytical workflows.
Data Validation
- Perform data reconciliation between SAS 9.4 and SAS Viya 4 environments.
- Validate ETL processes, data pipelines, and reporting outputs for accuracy and completeness.
Automation & Tools
- Implement automated data validation scripts using SQL, Python, or SAS.
- Support integration of automated tests into CI/CD pipelines.
Defect Management
- Log, track, and manage defects related to data inconsistencies or migration issues.
- Collaborate with Data Engineers and developers to resolve issues promptly.
Compliance & Governance
- Ensure all testing activities adhere to the clients security, GDPR, and data governance standards.
Collaboration
- Work closely with Business Analysts, Test Manager, and migration teams to align testing with requirements.
- Support UAT and provide evidence for sign-off.
Required Skills & Experience: Strong experience in
- Data testing and validation for large-scale migrations.
- Writing and executing SQL queries for data comparison and profiling.
Knowledge of
- SAS technologies (SAS 9.4, SAS Viya 3.x/4).
- ETL processes and data integration frameworks.
Familiarity with
- Test automation tools and scripting (Python, SAS).
- Agile delivery and defect management tools (Jira, Confluence).
Desirable Qualifications
- ISTQB Foundation or Advanced Test Analyst certification.
- Experience in government or regulated environments.
- Understanding of cloud platforms (AWS) and containerized deployments.