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.
What you'll be doing?
Team & leadership
Lead, develop, and manage a team of three analysts — workload allocation, quality review, and growth
Set the standards for data models, definitions, and documentation the whole business relies on.
Serve as the primary data partner to stakeholders across Sales, Finance, Marketing, Operations, and Product
Business intelligence & analysis (primary focus)
Maintain daily automated reports: leads, listings, LPL, promoted listings, sold listings, market monitor
Deliver weekly ad-hoc data requests across P24 and AutoTrader
Produce monthly and quarterly commercial analyses, industry reports, and press-ready data articles
Track commercial KPIs: take rate, ROS/MDS, LPL per dealer, slot utilisation, dealer profitability
Build and maintain dashboards in Tableau and Apache Superset; templates in Excel and Google Sheets
Proactively identify data improvement opportunities and surface insights to the business
Automation & data pipelines (second focus)
Write and maintain complex SQL queries and automated pipelines across P24 and AT databases
Process, cleanse, and verify the integrity of data used for analysis and modelling
Build recurring data workflows — revenue book, billing, finance reporting, sold data
Data science (phased)
Apply predictive and statistical techniques to existing datasets — churn modelling, demand forecasting, pricing elasticity, and anomaly detection
Explore ML-assisted valuation and depreciation modelling for AutoTrader
Collaborate with engineering to productionise models as part of automated pipelines
What we're looking for
Essential
5+ in BI, data analytics, or data science; 1–2 years leading or mentoring others
Expert-level SQL and experience building automated reporting pipelines
Proficiency in at least one of Python, Tableau, Apache Superset, and Excel
Strong understanding of machine learning techniques and algorithms (clustering, neural networks, boosting)
Proficiency in statistical analysis, data mining, and mathematics
Proven ability to manage a high-volume, multi-stakeholder request backlog independently
Strong communication skills — able to translate complex data and models into clear business narrative
Desirable
Degree in Data Science, Statistics, Computer Science, or a related field
Experience in online classifieds, proptech, or automotive industry
Familiarity with GA4
Experience producing data for press or media-facing data publications
Background in pricing or valuation modeling
You'll thrive here if you are
Driven to build systems and put yourself out of the business of running reports by hand.
Self-motivated and comfortable working with minimal supervision
A team player who takes ownership and brings a positive, proactive attitude
Detail-oriented with a track record of consistently meeting deadlines
Naturally curious, with an analytical mind and a genuine love for problem-solving
Perks
Work from home option for Product, Data & Tech staff
Competitive salaries and performance bonuses
21 days leave + 1 for each 2 years worked (up to 25 days)
Free daily breakfast (if working from office)
Group life insurance
Paid maternity (4 months) and paternity (10 days) leave
Video or book subscription service subsidy
Ad-hoc peer reward system
As South Africa's number 1 property portal, we're passionate about helping people find their perfect homes. In addition, we provide South Africa's Real Estate Industry with an unparalleled brand-building and marketing platform, with powerful opportunities to connect with home-buyers and renters searching for property online.
From Sandton, Port Elizabeth and Cape Town to Soweto, Pretoria and Bloemfontein, we help homebuyers and renters find apartments, houses, townhouses, vacant land and farms. With over 300 000 property listings for sale and to rent from South Africa's leading Real Estate Agents, there's never been an easier and more convenient way to search for property. We're also committed to empowering homebuyers with local knowledge and area trends to help with making the best decision about where to live.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement. 
