Senior BI Analyst - Team Lead

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+ 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)
• 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 a 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 modelling

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

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 do not meet all the requirements – you may be 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 the Privacy Statement.

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