Data Scientist (Customer Analytics)

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

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

• Present findings to managers in plain language with clear charts
• Build simple forecasting and segmentation models in Python or R
• Automate weekly reports that used to take hours in Excel
• Keep a data dictionary so everyone uses the same definitions
• Meet business users to turn their questions into report requirements
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• 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
• Degree in statistics, maths, computer science, economics or a related field
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Strong SQL, including joins, window functions and CTEs

• Microsoft PL-300 Power BI Data Analyst certification
• Industry knowledge in retail, insurance or credit

• Hybrid work with two office days
• Paid cloud and BI certifications
• 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.
• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.