Data Scientist (Customer Analytics)

Questions come to you at a retail chain analytics team in Sandton, and you answer them with data. This role rewards consistency more than flash.

You'll be based at a retail chain analytics team in Sandton. Living nearby, or on a taxi route to it, really helps. Weekend work is on a roster, so you won't be on every weekend.

• Check data quality and trace odd numbers back to the source
• Present findings to managers in plain language with clear charts
• Build and maintain Power BI dashboards and data models
• Build simple forecasting and segmentation models in Python or R
• Keep a data dictionary so everyone uses the same definitions

• At least 2 years in a data or reporting role (not needed for graduate posts)
• Able to explain what the numbers mean, not just show them
• Advanced Excel
• Strong SQL, including joins, window functions and CTEs

• Industry knowledge in retail, insurance or credit
• Microsoft PL-300 Power BI Data Analyst certification
• Python with pandas for data wrangling

• Annual bonus tied to company performance
• Hybrid work with two office days
• 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.
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.