how2apply

Credit Risk Data Analyst (Lending)

How2Apply Talent Network

Umhlanga, KwaZulu-Natal

Full-time

Posted 1 day ago

Full-time IT & Software

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Job Description

A retail chain analytics team in Umhlanga needs dashboards people trust and numbers that add up. Someone who likes a bit of variety, but also likes doing things the right way, will enjoy this.

Location: Umhlanga, KwaZulu-Natal. Applicants who already live in the area get looked at first.

The work, day to day

Build simple forecasting and segmentation models in Python or R
Meet business users to turn their questions into report requirements
Mask or remove personal information in data sets under POPIA
Write SQL to pull, join and clean data from several sources
Build ETL pipelines in SSIS, Azure Data Factory or Python
Build and maintain Power BI dashboards and data models
Automate weekly reports that used to take hours in Excel

Must-haves

At least 2 years in a data or reporting role (not needed for graduate posts)
Able to explain what the numbers mean, not just show them
Degree in statistics, maths, computer science, economics or a related field
Strong SQL, including joins, window functions and CTEs

What's in it for you

Hybrid work with two office days
Annual bonus tied to company performance
Latest laptop with extra screen
Paid cloud and BI certifications

How to apply for this job

Make sure the role, the hours and working in Umhlanga really suit you before you apply.
Have the following on hand (clear photos on your phone are fine at first): screenshots or a link to a dashboard you built, with real data removed, academic record showing statistics or maths modules plus certification transcripts.
Send your details with the form below. Add one or two lines about similar work you've done.
Watch for a call or WhatsApp from How2Apply over the next 7 working days.

Your application joins the How2Apply talent pool for this role, and we put shortlisted people forward to employers hiring in and around Umhlanga.

How2Apply never charges you to apply, for training, for uniforms or for a "placement fee". If anyone asks you for money, it is a scam.

Before you hit apply

Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".
Build one public portfolio dashboard on a South African open data set if you have no work samples to share.