Data Scientist (Customer Analytics)

You'll turn messy data into reports managers actually use, for a retail chain analytics team in Benoni. It's a practical job: you'll see what you got done before you go home.

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

• Build and maintain Power BI dashboards and data models
• Check data quality and trace odd numbers back to the source
• Present findings to managers in plain language with clear charts
• Automate weekly reports that used to take hours in Excel
• Keep a data dictionary so everyone uses the same definitions
• Mask or remove personal information in data sets under POPIA
• Build simple forecasting and segmentation models in Python or R

• Hands-on Power BI, Tableau or a similar tool
• Advanced Excel
• Able to explain what the numbers mean, not just show them
• Careful with sensitive customer data

• Industry knowledge in retail, insurance or credit
• Experience with Databricks, Snowflake or Fabric

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

• 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".