Technical Analyst: Data Analytics

4 weeks ago


Johannesburg, South Africa Foxridge Trading 31 - Supreme Consulting - Valuing HR Full time

**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

**Responsibilities**
- 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.

**Key outputs**
- 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

**Key** performance measures**
- 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

**Technical competencies**
- Business acumen
- Financial acumen
- Data scripting
- Scenario modelling for DQM
- Fast learner

**Experience required**
- Knowledge of data management, products and processes.
- SSIS, SQL, ETL, Power BI, Kibana, Teradata

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



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