Reporting Analyst (Retail Sales)

Questions come to you at a telecoms provider in Prospecton, and you answer them with data. Someone who likes a bit of variety, but also likes doing things the right way, will enjoy this.

The site is in Prospecton; early starts mean public transport timing matters, so check your route before applying. You'll start with a short induction before working on your own.

• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Keep a data dictionary so everyone uses the same definitions
• Build simple forecasting and segmentation models in Python or R
• Present findings to managers in plain language with clear charts
• Check data quality and trace odd numbers back to the source

• Careful with sensitive customer data
• Able to explain what the numbers mean, not just show them
• Strong SQL, including joins, window functions and CTEs
• Hands-on Power BI, Tableau or a similar tool
• Advanced Excel

• Industry knowledge in retail, insurance or credit
• Python with pandas for data wrangling
• Experience with Databricks, Snowflake or Fabric

• Annual bonus tied to company performance
• 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.
• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".