Credit Risk Data Analyst (Lending)

A retail chain analytics team in Sandton needs dashboards people trust and numbers that add up. This is a good step for someone who wants proper routine and a manager who notices good work.

The site is in Sandton; early starts mean public transport timing matters, so check your route before applying. Overtime comes up in peak season and is paid.

• Present findings to managers in plain language with clear charts
• Mask or remove personal information in data sets under POPIA
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Keep a data dictionary so everyone uses the same definitions
• Automate weekly reports that used to take hours in Excel

• Degree in statistics, maths, computer science, economics or a related field
• Hands-on Power BI, Tableau or a similar tool
• Strong SQL, including joins, window functions and CTEs
• Able to explain what the numbers mean, not just show them

• Python with pandas for data wrangling
• Experience with Databricks, Snowflake or Fabric
• Microsoft PL-300 Power BI Data Analyst certification

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

• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".
• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.