Credit Risk Data Analyst (Lending)

Questions come to you at a short-term insurer in Sandton, and you answer them with data. People who do well here are steady, honest and not scared to ask when something is unclear.

The site is in Sandton; early starts mean public transport timing matters, so check your route before applying.

• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Meet business users to turn their questions into report requirements
• Mask or remove personal information in data sets under POPIA
• Check data quality and trace odd numbers back to the source
• Build simple forecasting and segmentation models in Python or R
• Automate weekly reports that used to take hours in Excel
• Write SQL to pull, join and clean data from several sources

• Hands-on Power BI, Tableau or a similar tool
• Able to explain what the numbers mean, not just show them
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Advanced Excel
• Degree in statistics, maths, computer science, economics or a related field
• Careful with sensitive customer data

• Hybrid work with two office days
• Paid cloud and BI certifications
• Annual bonus tied to company performance
• Latest laptop with extra screen

• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.
• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".