- Investigate and resolve data quality issues through direct, hands-on analysis.
- Maintain and execute data quality controls, review processes, and standard operating procedures.
- Experiment with automated and AI-assisted workflows to streamline data quality tasks.
- Track and report on data quality metrics, trends, and operational health.
- Identify recurring issues, data risks, and opportunities for process optimization.
- Prioritize and manage individual queue workflows to resolve high-impact issues efficiently.
- Communicate analytical findings and recommendations clearly to cross-functional stakeholders.
- Maintain clear documentation for internal data standards and standard operating procedures.
Data Analysis