Senior BI Analyst – Team Lead

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OLX Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🏪 Marketplace

👥 B2C

eCommerce • Marketplace • B2C

OLX is a marketplace platform that offers safe and easy-to-use trading services for consumers globally. With a focus on sustainability and community, OLX empowers individuals to connect and trade efficiently, making a positive difference in the world. Through various brands and a commitment to understanding customer needs, OLX fosters an innovative work environment that encourages teamwork and growth.

📋 Description

• 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 • 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 • 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 • 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

🎯 Requirements

• 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

🏖️ Benefits

• 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