Business Intelligence Developer

• Design, develop, and maintain scalable data pipelines using Databricks.
• Extract, transform, and load (ETL/ELT) data from multiple enterprise data sources.
• Build and maintain interactive Power BI dashboards and reports for HR and People Analytics.
• Write efficient SQL queries for data extraction, transformation, and validation.
• Ensure data quality, integrity, and consistency across reporting environments.
• Optimise existing data models and reporting solutions for performance and scalability.
• Collaborate with HR stakeholders to understand reporting requirements and translate business needs into technical solutions.
• Troubleshoot data issues and implement sustainable fixes.
• Document data processes, models, and technical solutions.
• Support continuous improvements to the organisation's analytics and reporting capabilities.

Intermediate Data Engineer, Power BI

• Investigate trends, anomalies, and opportunities across the business and wider market, translating findings into practical recommendations that improve customer experience, commercial performance, operational efficiency, and strategic decision-making.
• Proactively identify opportunities for growth, optimisation, and innovation by analysing customer behaviour, market trends, competitor activity, operational performance, and emerging technologies. Surface insights that help the business prioritise investments and strategic initiatives.
• Design, maintain, and improve dashboards and recurring reporting that are clear, trusted, and genuinely useful to stakeholders.
• Actively identify opportunities to introduce AI-assisted workflows, automation, and smarter analytical processes to improve efficiency and business impact.
• Identify inconsistencies, gaps, and risks in data, reporting, tracking, modelling, and querying, helping strengthen governance, privacy, responsible AI usage, and trust in business-critical metrics.
• Partner with stakeholders across the business to understand their questions, shape analysis, and communicate findings clearly.
• Proactively find the needle in the haystack by exploring what is changing in the business and around it, why it is changing, and what should happen next.
• Maintain clear and practical documentation around key metrics, reporting logic, definitions, and analytical context to support consistency and better decision-making.
• Contribute to better analytical practices, reporting habits, and the data roadmap, strengthening the use of data across the business.

Business Intelligence Analyst

• 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

Senior BI Analyst – Team Lead

• Design and build scalable data models (dimensional models, semantic layers, and curated datasets) that power reporting and analytics across the business.
• Own the development and optimisation of BI dashboards and reporting layers, ensuring they are accurate, performant, and self-service ready.
• Partner with Data Engineering to define data contracts, improve data quality, and ensure robust, well-structured pipelines.
• Translate complex, ambiguous business requirements into well-defined data models and BI solutions.
• Build and maintain cohort, funnel, retention, and performance datasets that enable consistent reporting across teams.
• Support experimentation by ensuring A/B test data is correctly structured, tracked, and accessible for analysis.
• Develop and maintain KPI definitions, metric layers, and a single source of truth for core business metrics.
• Work closely with stakeholders to design dashboards that go beyond reporting — enabling real decision-making.
• Perform deep-dive analysis into customer behaviour, churn, fraud patterns, and commercial performance when needed.
• Champion data governance, documentation, and consistency in how data is defined and used across the organisation.
• Identify opportunities to improve data architecture, reporting efficiency, and self-service capability.
• Stay close to the customer journey and ensure data reflects real-world product and user behaviour accurately.

Business Intelligence Developer jobs in South Africa

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Intermediate Data Engineer, Power BI

Business Intelligence Analyst

Senior BI Analyst – Team Lead

Senior BI Engineer