how2apply

Data Scientist (Customer Analytics)

How2Apply Talent Network

Tembisa, Gauteng

Full-time

Posted 57 min ago

Full-time IT & Software

R41 500 – R60 250/month

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Job Description

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

The work is in Tembisa, Gauteng, so you'll need a reliable way to get there every day.

What you'll actually do

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

Must-haves

Strong SQL, including joins, window functions and CTEs
Able to explain what the numbers mean, not just show them
Hands-on Power BI, Tableau or a similar tool
At least 2 years in a data or reporting role (not needed for graduate posts)

Nice if you have

Python with pandas for data wrangling
Microsoft PL-300 Power BI Data Analyst certification

What you get

Hybrid work with two office days
Latest laptop with extra screen
Annual bonus tied to company performance

Applying, step by step

Check you meet the must-haves first; recruiters filter on those before anything else.
Get these ready, because shortlisted people are asked for them straight away: academic record showing statistics or maths modules, certification transcripts plus screenshots or a link to a dashboard you built, with real data removed.
Fill in the short form below with your name and a phone number you actually answer.
Keep your phone on. Shortlisted applicants are contacted by call, SMS or WhatsApp within 7 working days.

How2Apply recruits for this position on behalf of hiring employers around Tembisa; applications go into our talent pool and shortlisted candidates are introduced directly.

Applying is free. Nobody from How2Apply will ever ask you to pay for anything to get this job.

Before you hit apply

Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.
Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".