Data & Business Analyst (Remote South Africa)

SUMMARY:
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.

POSITION INFO:

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

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