Data Scientist (Customer Analytics)

You'll turn messy data into reports managers actually use, for a short-term insurer in Pretoria East. Good for someone who wants to build a solid track record they can put on their CV.

You'll report in Pretoria East. Relocation is not covered for this one. Most weeks are 45 hours, in line with the BCEA.

• Write SQL to pull, join and clean data from several sources
• Mask or remove personal information in data sets under POPIA
• Build simple forecasting and segmentation models in Python or R
• Check data quality and trace odd numbers back to the source
• Present findings to managers in plain language with clear charts
• Meet business users to turn their questions into report requirements
• Automate weekly reports that used to take hours in Excel

• Strong SQL, including joins, window functions and CTEs
• Careful with sensitive customer data
• Degree in statistics, maths, computer science, economics or a related field
• Hands-on Power BI, Tableau or a similar tool

• Experience with Databricks, Snowflake or Fabric
• Microsoft PL-300 Power BI Data Analyst certification

• Paid cloud and BI certifications
• Latest laptop with extra screen
• Hybrid work with two office days

• 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.