Responsibilities
- Lead, develop, and manage a team of three analysts, including workload allocation, quality review, and professional growth.
- Establish standards for data models, definitions, and documentation used across the organization.
- Act as the primary data partner for stakeholders in Sales, Finance, Marketing, Operations, and Product.
- Maintain daily automated reports covering leads, listings, LPL, promoted listings, sold listings, and market monitor.
- Deliver weekly ad-hoc data requests for P24 and AutoTrader.
- Produce monthly and quarterly commercial analyses, industry reports, and press-ready data articles.
- Track commercial KPIs such as take rate, ROS/MDS, LPL per dealer, slot utilization, and dealer profitability.
- Build and maintain dashboards in Tableau and Apache Superset, and templates in Excel and Google Sheets.
- Proactively identify data improvement opportunities and communicate insights to the business.
- Write and maintain complex SQL queries and automated pipelines across P24 and AT databases.
- Process, cleanse, and verify data integrity for analysis and modeling.
- Build recurring data workflows for revenue book, billing, finance reporting, and sold data.
- Apply predictive and statistical techniques to existing datasets, including churn modeling, demand forecasting, pricing elasticity, and anomaly detection.
- Explore ML-assisted valuation and depreciation modeling for AutoTrader.
- Collaborate with engineering to productionize models as part of automated pipelines.
Requirements
- 5+ years 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) is advantageous.
- Proficiency in statistical analysis, data mining, and mathematics.
- Proven ability to manage a high-volume, multi-stakeholder request backlog independently.
- Strong communication skills to translate complex data and models into clear business narratives.
Nice to Have
- 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.
Benefits
- Work from home option for Product, Data & Tech staff.
- Competitive salaries and performance bonuses.
- 21 days leave plus 1 additional day for each 2 years worked (up to 25 days).
- Free daily breakfast if working from office.
- Group life insurance.
- Paid maternity leave (4 months) and paternity leave (10 days).
- Video or book subscription service subsidy.
- Ad-hoc peer reward system.
Compensation
Competitive salaries and performance bonuses.
Work Arrangement
Hybrid — South Africa
What we're looking for
- Essential: 5+ years 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) is advantageous; proficiency in statistical analysis, data mining, and mathematics; proven ability to manage a high-volume, multi-stakeholder request backlog independently; strong communication skills to translate complex data and models into clear business narratives.
- 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 eliminate manual report generation.
- 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 plus 1 additional day for each 2 years worked (up to 25 days).
- Free daily breakfast if working from office.
- Group life insurance.
- Paid maternity leave (4 months) and paternity leave (10 days).
- Video or book subscription service subsidy.
- Ad-hoc peer reward system.
Other
- Work from home option for Product, Data & Tech staff.
- Free daily breakfast if working from office.
- Group life insurance.
- Paid maternity leave (4 months) and paternity leave (10 days).
- Video or book subscription service subsidy.
- Ad-hoc peer reward system.
