- Define and run data quality checks and reconciliation logic against the curated data layer.
- Validate migrated and re-pointed reports and dashboards for parity against their prior legacy-source output.
- Profile and investigate data quality issues and reconciliation variances with Data Engineering.
- Build and maintain data quality dashboards/reports in Power BI.
- Partner with Finance and business stakeholders to define acceptance criteria and quality thresholds.
- Produce the acceptance evidence, including reconciliation results and parallel-run comparisons.
- Document data quality rules and known issues for client post-handoff maintenance.
SQLMicrosoft Power BI