Location
In office (Johannesburg)
Seniority
Middle · 4+ years exp
Visa
Sponsors visas in United Kingdom; no register of this country names it
Employment
Full-Time
First seen by Alion on Oct 27, 2026.
Overview
Company
Impact
Profile match
Monocle is a global briefing covering international affairs, business, design and culture through a magazine, radio station and website.
- Monocle is looking for experienced Data Analysts to join our team. As a Data Analyst at Monocle your role will be to help banking and insurance clients make data-driven decisions. You will be required to clean, analyse, and interpret large datasets to produce actionable insights, reports, and dashboards that support strategic and regulatory initiatives. The role combines technical data skills such as SQL, Python, or reporting tools, with business analysis, engaging directly with clients to understand their needs and translate them into analytical solutions.
Tasks and responsibilities include but are not limited to:
- Solving complex industry specific problems.
- Transforming raw data into meaningful insights through analysis, visualisation, and storytelling.
- Supporting financial and regulatory reporting by ensuring data integrity and accuracy.
- Identifying market, operational, and financial trends to guide business strategy.
- Conducting business analysis and requirements gathering: engaging with clients, understanding business problems and translating them into data requirements.
- Working with software and programming skills such as SAS, SQL, Python, Power BI, or similar tools to support decision-making.
- Partnering with business, finance, technology, and risk stakeholders to translate data into meaningful insights that support informed decision-making.
The successful candidate must have:
- A degree, with strong preference for a post graduate qualification.
- Technical certifications and/or professional qualifications such as CFA and/or FRM (advantageous).
- 4+ years of experience in data analytics in banking or consulting.
- Hands-on experience with software and programming skills such as Python, SAS, SQL, or other analytics tools.
- Finance, risk, and regulatory compliance knowledge (banking)
- Ability to turn complex data into simple compelling narratives.
- Problem-solving mindset and a natural curiosity for making sense of numbers.
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