Data Scientist (Customer Analytics)

Questions come to you at a telecoms provider in Paarl, and you answer them with data. This role rewards consistency more than flash.

Home base is a telecoms provider on the Paarl side of Western Cape.

• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Automate weekly reports that used to take hours in Excel
• Build and maintain Power BI dashboards and data models
• Keep a data dictionary so everyone uses the same definitions
• Write SQL to pull, join and clean data from several sources
• Meet business users to turn their questions into report requirements
• Build simple forecasting and segmentation models in Python or R

• Careful with sensitive customer data
• Advanced Excel
• 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)

• Experience with Databricks, Snowflake or Fabric
• Python with pandas for data wrangling
• Microsoft PL-300 Power BI Data Analyst certification

• Paid cloud and BI certifications
• Annual bonus tied to company performance
• 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.