Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.
1. Maintain and monitor the accuracy of Bupa’s Information Asset Register
2. Manage data quality issues and exceptions within SLA, from identification through to remediation and ongoing monitoring.
3. Measure data quality of high value data across the application and business process ecosystem against data quality dimensions
4. Assist in creating and maintaining documentation of processes, policies, standards, and guidelines owned by the Data Governance function.
5. Assist departments in obtaining approval for their initiatives by complying with data governance requirements.
6. Assist in the research, development, implementation, and maintenance of tools that will improve the efficiency and enable the sustainability of data governance processes.
7. Assist in auditing the accuracy of data classification outputs provided by the departments.
8. Assist in auditing the departments’ compliance to the policies and standards owned by the Data Governance function.
9. Assist in quality assurance activities relating to data governance processes and outputs including data masking and data quality dashboards.
10. Collaborate in developing communication instruments and data literacy programs that promote data governance initiatives and the management of data risks.
1. Produced monthly reports using advanced Excel spreadsheet functions.
2. Utilized data visualization tools to effectively communicate business insights.
3. Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
4. Improved decision-making processes with accurate data analysis and visualization techniques.
5. Increased data accuracy by implementing thorough data validation and cleansing processes.
6. Developed and improved integrated reporting and analysis capabilities.
7. Created dashboards to monitor and track key performance indicators.