Data Scientist (Customer Analytics)

You'll turn messy data into reports managers actually use, for a retail chain analytics team in Randburg. You don't need to be the loudest person in the room, just the one others can count on.

This post is in Randburg (Gauteng). Please only apply if you can travel there daily. Overtime comes up in peak season and is paid.

• Meet business users to turn their questions into report requirements
• Automate weekly reports that used to take hours in Excel
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Build and maintain Power BI dashboards and data models
• Check data quality and trace odd numbers back to the source

• Careful with sensitive customer data
• Strong SQL, including joins, window functions and CTEs
• Hands-on Power BI, Tableau or a similar tool
• Able to explain what the numbers mean, not just show them

• Annual bonus tied to company performance
• Paid cloud and BI certifications
• Latest laptop with extra screen

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