Data & Business Analyst (Remote South Africa) About the job Data & Business Analyst (Remote South Africa) Job Advertisement: Data & Business Analyst (Remote South Africa) Location: Remote (Cape Town preferred) Working Hours: 8am - 6pm UK time, Monday to Friday (50 hours/week including lunch) Salary: Up to R67,000 per month We're looking for an exceptional all-rounder, someone who lives and breathes data, thrives on solving complex problems, and enjoys working in fast-paced, cross-functional environments. This is a unique opportunity to work across product, customer, and commercial teams in a high-impact role where you'll own your analysis from end to end. Responsibilities: Write fast, clean SQL to answer business-critical questions and build internal reporting Own dashboards and reporting infrastructure from internal tools to impact reporting for clients Design and maintain logic frameworks, decision trees, and algorithms that drive core product workflows Conduct deep-dive analysis into user behaviour, product performance, and commercial impact Troubleshoot complex, hard-to-replicate product issues with clear, analytical thinking Support new feature design by mapping out edge cases, modelling logic, and translating workflows into clear product specifications Produce clear, actionable insights to guide business decision-making Requirements: 3-5 years of experience in a high-performing environment (tech, consulting, finance, or similar data-intensive fields) Strong academic background in science, engineering, or another quantitative discipline (degree level or higher) Advanced SQL skills, able to query, analyze, and transform data independently Passion for building dashboards, tools, reports, and automations that drive clarity and efficiency Excellent analytical and problem-solving skills, able to bring structure to ambiguity Natural curiosity for how systems and processes work Strong communicator comfortable working with cross-functional teams, including engineers, product managers, and end users Interest or experience in AI, machine learning, or data science is a strong advantage #J-18808-Ljbffr