Senior MI Analyst | Gauteng

The Recruitment Council; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading Financial Service Provider is seeking a Senior MI Analyst based in Sandton, South Africa. This role requires a data-driven individual with at least 5 years of experience in data analytics and optimization. The successful candidate will lead complex reporting efforts, conduct trend analysis for operational efficiencies, and ensure data integrity across the organization. A Bachelor’s Degree in a related field is essential, alongside strong analytical skills and industry knowledge in financial services.

Qualifications

• 5+ years in a Data Analytics environment using statistical tools.
• Experience in the Financial Services sector is highly advantageous.
• Ability to operate independently in a complex environment.

Responsibilities

• Lead execution of complex reports to guide decision-making.
• Take ownership of MI reporting across the organization.
• Conduct trend analysis to predict efficiencies.
• Develop relationships for data alignment and reporting accuracy.
• Approve data specifications to preserve data integrity.

Skills

Data Analytics

Trend Analysis

Reporting Accuracy

Data Management

Education

Bachelor’s Degree in Statistics or related field

Job description

Are you a data-driven strategist with a passion for transforming complex information into business-critical insights?

Our client, a leading Financial Service Provider (FSP), is looking for a Senior MI Analyst to join their high-performing team in Sandton. This role is designed for a specialist who thrives on driving organizational strategy through advanced data analytics, trend interpretation, and operational optimization.

Key Responsibilities

• Lead the execution of complex reports and identify hidden patterns to guide informed, high-level decision-making.
• Take full ownership of all Management Information (MI) reporting across the organization.
• Conduct rigorous trend analysis on historical and real-time data to predict and implement future efficiencies.
• Develop and manage critical relationships with internal and external partners to ensure data alignment and reporting accuracy.
• Approve data specifications and manage key elements of the data management system to preserve data integrity and security.

Requirements

• Education: A Bachelor’s Degree in Statistics, Actuarial Science, Computer Science, Applied Mathematics, or a related Data Analytics field is essential.
• Experience: Minimum of 5+ years in a Data Analytics and Optimization environment using modern statistical tools and packages.
• Industry Knowledge: 2–3 years of experience within the Financial Services sector is highly advantageous.
• Technical Mastery: Comprehensive knowledge of analytical processes and the ability to operate independently within a complex, fast-paced environment.