Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office
PE010814-LM-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the company's Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation. Job
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
solutions around big data that support the Bank's strategy to become a data driven organisation.
(Finance) - Data Analyst Assets Management - Data Analyst Human Capital Management (HCM) - Data Analyst Knowledge (KM) - Data Analyst Quality Assurance (QA) - Data Analyst Work Force Management (WFM) - Data Analyst Analyst Data Collection and Cleaning: Collecting data from various sources, including databases and surveys accuracy and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns Power BI for data analysis and visualization. Insights and Recommendations: Interpreting data to provide
(Finance) - Data Analyst Assets Management - Data Analyst Human Capital Management (HCM) - Data Analyst Knowledge (KM) - Data Analyst Quality Assurance (QA) - Data Analyst Work Force Management (WFM) - Data Analyst Analyst Data Collection and Cleaning: Collecting data from various sources, including databases and surveys accuracy and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns Power BI for data analysis and visualization. Insights and Recommendations: Interpreting data to provide
Key Performance Areas:
Data and Flow Management:
Performance Areas: Data and Flow Management: Monitor and manage system backups and Evolution data synchronization and constant data flow (Regional and Local) with minimal system "Down days" and clean data maintenance backup procedures for data integrity and conduct successful recoveries. Respond to data loss incidents, implement administration qualification essential (e.g., SQL Server). Data analysis experience. Proven experience as an IT
artifacts and activities. Maintenance of customer base data. Engage with stakeholders of TLM Crisis Management practical experience of IT Infrastructure i.e., Data Centres, Networks, Servers, Storage, Platform, Middleware IT Process Governance Data Analysis – The ability to analyse and visualise data sets. (Excel, Power-BI
modules.
- Data Management:
- Prepare Master Data templates (Material Master
(CRs), write Functional Specifications, prepare test data, test CRs, and prepare test results.
- Regression
and practical experience with IT Infrastructure (Data Centres, Networks, Servers, Storage, Middleware Process Steering, IT Process Governance.