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Data & Business Analyst; Remote

Remote / Online - Candidates ideally in
Cape Town, 7100, South Africa
Listing for: The Legends Agency
Full Time, Remote/Work from Home position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Data & Business Analyst (Remote )
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
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