1. Leverage on data analytics knowledge & experience to facilitate to uncover the data breaks.
2. Go through daily reconciliation report or schedule query via database to identify anomalies and discrepancies, find out root cause and implement corrective measures.
3. Oversee and responsible for ensuring data quality and fitness for purpose of data assets.
4. Able to articulate clearly the problem statement observed after investigation of the data breaks.
5. Monitor & engage in the ongoing and detailed evaluation & trending of data quality.
6. Ensuring data integrity, assess and improve data quality, oversee data from cradle to grave and remediate data quality issue.
7. Collate, manage, rationalise, associated with technology team to support in impact assessment, fix data quality issue, UAT and support implementation and live verification.
8. Actively partnering with the technology team in the solution's process to ensure that the business solutions being implemented are thought through from a long term, standardization, design for no operations, front-end configuration perspective.
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