- Analyse and document current application parameters.
- Document, coordinate and obtain user approvals on the suggested new parameters, Data procedures and controls.
- Evaluate user information requirements and recommend and design the proper control & management reports in order to fulfil these needs.
- Recommend and configure the application parameters to suit the business, users, and regulations requirements.
- Prepare documentation for the system user guides as per the overall documentation policy.
- Design reports for the business (MIS) and provide the details to the data Scientist and Engineers to streamline their development or deployments.
- Liaise with Data Engineer to prepare test environments by loading adequate data for testing based on approved acceptance criteria and test cases.
- Review and approve data migration methods outcomes.
- Approve or disapprove the ML, AI Model or applications that are being tested for live usage.
- Adhere to all data governing aspects issued by Data Governance Team or any control department related to data governance.
- Ensure to meet the set measures of data quality issued and published as guideline by Data Quality Team or any control department related to data quality.
- Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
- Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time
- Provide analytics to transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
- Create interactive dashboards, reports, and presentations to effectively communicate complex analytical findings to stakeholders.
- Review existing analytic processes to identify best practices and opportunities for improvement.