Exciting Opportunity: Technology and Data Analyst – Compliance in Western Cape
A leading company in the finance sector, Ninety One, is seeking a dedicated Technology and Data Analyst to join their Compliance team. This is a prime opportunity for data-driven professionals eager to contribute to a scalable and innovative environment.
Key Responsibilities
- Conduct comprehensive data analysis to support compliance reporting and decision-making.
- Collaborate with the Central Services Technology team to design and implement scalable data-driven solutions.
- Monitor and ensure data integrity within compliance frameworks and reporting processes.
- Generate and distribute insightful reports that improve operational efficiency and regulatory adherence.
Requirements
- Qualification: Degree in Data Science, Mathematics, Computer Science, or a related field.
- Experience: Proven experience in data analysis, preferably within a compliance environment.
- Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software.
- Knowledge: Understanding of compliance standards and regulations within the financial industry.
💰 Salary Insight
Estimated Salary: R30,000 – R50,000 per month.
(Note: Salary estimates are based on market research and may vary based on experience and qualifications.)
🔮 3 Common Interview Questions for this Role
- “Can you explain a complex data analysis project you managed and the tools you used?”
- “How do you ensure data integrity when generating compliance reports?”
- “What strategies do you use to stay current with compliance regulations and data privacy laws?”
Tips on Crafting a CV for this Role
- Showcase Technical Skills: Highlight relevant software and programming languages (e.g., SQL, Python).
- Detail Compliance Knowledge: Specify any experience with regulatory frameworks relevant to financial institutions.
- Quantify Achievements: Use metrics to illustrate your data analysis impact (e.g., % increase in efficiency).
Related Job Titles: Data Analyst, Compliance Analyst, Data Scientist, Business Analyst.

