Job Description

Purpose of the job

• To prepare appropriate data used for models built to optimise Cash SA (e.g., ETL builds, Reservoir engineering, PY charm scrips, SQL scripts and views across all data required for analytics).
• To prepare/design appropriate analytics and visualisation models built to optimise Cash SA (e.g., Power BI, Grafana, Prometheus, Elastic, Splunk tools).
• To provide high quality support on the design of data/information within Cash SA
• To provide support and guidance on all data regulatory requirements (POPIA, Data protection, Data Flows, PCI DSS)t within Cash SA

• Compiles and aggregates data sets from multiple disparate sources, handles and pre-processes large unstructured and structured datasets to analyze data integrity and usefulness.
• Rapidly prototypes and utilises approved data systems, algorithms, modeling and advanced data tools and techniques to model complex data sets and DQM required outputs.
• Applies data mining, quantitative analysis to pro-actively reveal insights into data outputs to enable analysts to respond quickly and holistically to new visulisation demands.
• Drives standardization and automation of data in order to remove variables from the data which leads to improved customer service and speed of insight delivery.
• Builds and maintains appropriate analytics and visualisation models as per BOW or business priority.
• Assists with ensuring compliance to the banks Risk and governance frameworks.
• Takes the lead on learning new tools and systems that are required based on the changes in business needs.

• Accurate of data
• Predictability of data provided
• Data quality improvements
• Speed of data
• Data automation
• Power BI data flows
• Power BI visualisations
• New data acquisition
• Risk and compliance outputs

• Accurate provision of scenarios and analytics of data quality
• Minimised inaccurate data and data errors
• Reduced TAT time for data supply.
• Review and improve the data output for the team in general.
• Risk and compliance outputs
• Visualization quality and usage

• Business acumen
• Financial acumen
• Data scripting
• Scenario modelling for DQM
• Fast learner

• 3 xe2x80x93 4 years experience in data modelling applications and data analysis.
• Knowledge of data management , products and processes.
• SSIS, SQL, ETL, Power BI, Kibana, Teradata

• 3-year B.Comm degree (i.e. Engineering, Economics, Mathematics, Statistics, etc.)

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