Offer summary

Qualifications:

3-5 years of experience in a high-performing environment such as tech, consulting, or finance., Strong academic background in science, engineering, or a quantitative discipline at degree level or higher., Advanced SQL skills for querying, analyzing, and transforming data independently., Excellent analytical and problem-solving skills with a natural curiosity for systems and processes..

Key responsabilities:

Write fast, clean SQL to answer business-critical questions and build internal reporting.

Own dashboards and reporting infrastructure, including impact reporting for clients.

Conduct deep-dive analysis into user behavior, product performance, and commercial impact.

Produce clear, actionable insights to guide business decision-making.

Job description

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 R48,000 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

Required profile