Junior Analyst- Data Analytics

2 weeks ago


Johannesburg, Gauteng, 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).

Responsibilities

  • Compiles and aggregates data sets from multiple disparate sources, handles and preprocesses large unstructured and structured datasets to analyze data integrity and usefulness.
  • Applies data mining, quantitative analysis to proactively 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.
  • 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

Experience required

  • Knowledge of data management, products and processes.
  • SSIS, SQL, ETL, Power BI, Kibana, Teradata

Minimum qualifications

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

Technical competencies

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


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