Credit Risk Data Analyst (Lending)

Questions come to you at a telecoms provider in Roodepoort, and you answer them with data. Good for someone who wants to build a solid track record they can put on their CV.

Location: Roodepoort, Gauteng. Applicants who already live in the area get looked at first. Shifts rotate, so you'll need to be flexible about days and nights.

• Mask or remove personal information in data sets under POPIA
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Present findings to managers in plain language with clear charts
• Keep a data dictionary so everyone uses the same definitions
• Build and maintain Power BI dashboards and data models

• Careful with sensitive customer data
• Degree in statistics, maths, computer science, economics or a related field
• Advanced Excel
• Hands-on Power BI, Tableau or a similar tool

• Experience with Databricks, Snowflake or Fabric
• Industry knowledge in retail, insurance or credit
• Microsoft PL-300 Power BI Data Analyst certification

• Paid cloud and BI certifications
• Latest laptop with extra screen
• Hybrid work with two office days

• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.