Senior BI Analyst - Team Lead

WELCOME TO OLX
 
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
 
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
 
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
 
Join OLX and see how far you can go.

We're looking for a leader to take ownership of Business Intelligence across South Africa's number one property and automotive websites, Property24 and AutoTrader. Leading the BI team and delivering sharp commercial analysis is the heart of this role — the reporting and insight that keep the business running and that leadership, Sales, Finance, Marketing, Operations, and Product depend on every day.
Underpinning that is the second pillar of the role: automation and data pipelines. Reliable analysis at this scale only works on solid foundations, so you'll own the automated pipelines and data workflows that feed reporting across both brands — making them robust, accurate, and scalable rather than manual and fragile.
A defining way you'll deliver this is by building self-service systems. Rather than running every report by hand, you'll lead the team to turn routine, recurring demand into trustworthy, governed dashboards and templates that stakeholders can use themselves — freeing your analysts to focus on the genuinely hard questions where their expertise matters most.
Over time, and as these foundations mature, you'll grow our data science capability — predictive pricing, anomaly detection, and ML applied to real product problems. We're deliberate about the sequence: dependable BI, automation, and self-service come first, and they're what fund and enable the more ambitious data science work.