To ensure integrity accuracy and compliance of organizational data by implementing robust data governance frameworks monitoring data quality and driving remediation initiatives. Provide support in ensuring that the data quality and reporting strategy is executed providing an accurate depiction of the data quality landscape while driving a data driven culture.
Qualifications :
Qualification:
Degree in; Information Technology/Computer Science/Business Statistics.
Experience Required 2 - 4 years;
- In information Lifecycle Management - Basic data management experience with knowledge of data quality. Basic knowledge of systems and processes in a financial services environment.
- Exposure to Data tools i.e; Power BI SQL and Python for data analysis visualization and Power Automate or similar tools for workflow automation.
- Exposure to AI concepts and LLMs is an added advantage.
Additional Information :
Behavioural Competencies:
- Excellent communication and presentation skills for training and stakeholder engagement.
- Examining Information
- Exploring Possibilities/Creative
- Interpreting Data
- Upholding Standards
Technical Competencies:
- Data Architecture Pinciples
- Data Integrity Concepts
- Data Management (Administration)
- Strong understanding of data governance frameworks data quality dimensions and regulatory compliance in financial services.
- Proficiency in Data tools i.e; Power BI SQL Python for data analysis visualization and Power Automate or similar tools for workflow automation.
Remote Work :
No
Employment Type :
Full-time
To ensure integrity accuracy and compliance of organizational data by implementing robust data governance frameworks monitoring data quality and driving remediation initiatives. Provide support in ensuring that the data quality and reporting strategy is executed providing an accurate depiction of th...
To ensure integrity accuracy and compliance of organizational data by implementing robust data governance frameworks monitoring data quality and driving remediation initiatives. Provide support in ensuring that the data quality and reporting strategy is executed providing an accurate depiction of the data quality landscape while driving a data driven culture.
Qualifications :
Qualification:
Degree in; Information Technology/Computer Science/Business Statistics.
Experience Required 2 - 4 years;
- In information Lifecycle Management - Basic data management experience with knowledge of data quality. Basic knowledge of systems and processes in a financial services environment.
- Exposure to Data tools i.e; Power BI SQL and Python for data analysis visualization and Power Automate or similar tools for workflow automation.
- Exposure to AI concepts and LLMs is an added advantage.
Additional Information :
Behavioural Competencies:
- Excellent communication and presentation skills for training and stakeholder engagement.
- Examining Information
- Exploring Possibilities/Creative
- Interpreting Data
- Upholding Standards
Technical Competencies:
- Data Architecture Pinciples
- Data Integrity Concepts
- Data Management (Administration)
- Strong understanding of data governance frameworks data quality dimensions and regulatory compliance in financial services.
- Proficiency in Data tools i.e; Power BI SQL Python for data analysis visualization and Power Automate or similar tools for workflow automation.
Remote Work :
No
Employment Type :
Full-time
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