Data & Business Analyst (Remote South Africa)

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