Technical Analyst: Data Analytics

Job Description

Job DetailsStandard Bank is the largest bank in Africa and our highly visible brand, award-winning service, and strong global presence helps us maintain our market-leading position. We place huge value on the talent of our people to drive our continued success, and to support our plans for growth. We now need a talented and resourceful individual to help us fulfill our business objectives and build customer loyalty within Data & Information Management.Job Purpose To prepare appropriate data used for models built to optimise Everyday banking and universal cash (e.g., ETL builds, Reservoir engineering, PY charm scrips, SQL scripts and views across all data required for analytics).To provide high quality support on the design and analysis based on historic view of data within the Everyday banking and cash?

Responsibilities + Skills


Knowledge of data management , products and processes.SSIS, SQL, ETL, Power BI, Kibana, TeradataBusiness acumenFinancial acumenData scripting


3-year B.Comm degree (i.e. Engineering, Economics, Mathematics, Statistics, etc.)3 4 years experience in data modelling applications and data analysis.

Job Summary

  • Published on: Wednesday, 9th December 2020
  • Designation: Technical Analyst: Data Analytics
  • industry: Finance
  • Vacancy: 1
  • Employment Status: Full-time
  • Job Location: Johannesburg
  • Salary: 0
  • Gender:
  • Application Deadline: Wednesday, 9th December 2020

About the Company

  • Company Name: Standard Bank Group.
  • Address: 9th Floor 011 636 9111/2 SBZAZAJJ Standard Bank Centre 5 Simmonds Street Johannesburg 2001 P O Box 7725
  • Website:
  • Company Profile:
  • To provide design and build decision agents and Credit process requirements for all Personal and Business products across the risk lifecycle for a particular stream (i.e. origination, account management and collections - to be customised per jobholder). This includes the process design of the end-to-end solution and working closely with appropriate Architectures (e.g., IT, Credit, Business, Data, etc.) to formulate sustainable strategic solutions.

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