Personal & Private Banking (PPB) Reporting and Analytics Graduate Programme
Financial Services, Banking
Minimum Requirements
- Economics
- Informatics
- Business Science
- Engineering
- Must be a South African citizen.
- Should you have work experience, it should not exceed 12 months.
- Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.
Responsibilities
- Structured Rotations: Graduates will rotate across multiple business units to understand how data drives decision-making across the bank.
- Technical Training: Intensive training in SQL, Power BI, Python, and data warehousing, alongside exposure to emerging technologies such as cloud-based analytics and AI-driven insights.
- Professional Development: Workshops on communication, stakeholder management, and problem-solving to ensure that you can translate data into actionable business intelligence.
- Mentorship & Support: You will be paired with a senior professional for guidance, career coaching, and performance feedback.
- Build Analytical Capability: Equip graduates with the technical and analytical skills to transform raw data into meaningful insights that support strategic and operational decisions.
- Strengthen Data-Driven Culture: Foster a generation of professionals who champion evidence-based decision-making across the bank.
- Support Business Growth: Ensure the bank has a pipeline of skilled MI Analysts who can deliver accurate, timely, and insightful reporting to drive profitability, efficiency, and compliance.
- Develop Emerging Talent: Create a talent pool in data and analytics who can adapt to evolving technologies and regulatory landscapes.
- Enhance Customer Outcomes: Ultimately, ensure that insights generated by the analysts contribute to better products, services, and customer experiences.
- Collect, clean, and validate large datasets from multiple systems.
- Apply analytical techniques to identify trends, anomalies, and opportunities.
- Ensure data integrity and compliance with regulatory standards.
- Develop and maintain dashboards, scorecards, and regular MI reports using tools such as SQL and Power BI.
- Translate complex data into clear, actionable insights for senior stakeholders.
- Automate recurring reports to improve efficiency and accuracy.
- Collaborate with business units (Finance, Coverage (Network), Segment (Customer Solutions), Risk) to understand their information needs.
- Present findings in a clear and concise manner to both technical and non-technical audiences.
- Support decision-making by providing timely and relevant outputs.
- Identify opportunities to enhance reporting processes and data flows.
- Contribute to projects that improve data quality, governance, and accessibility.
- Stay updated on emerging technologies and analytical methods to drive innovation.
- Ensure outputs meet regulatory requirements and internal audit standards.
- Support risk management teams by providing accurate and timely data insights.
- Maintain confidentiality and adhere to data protection policies.
- Participate in structured training programmes covering technical, analytical, and soft skills.
- Engage in mentorship and coaching sessions to build career readiness.
- Contribute to team knowledge-sharing and best practice development.
- Work on cross-functional projects to solve real business challenges.
- Showcase innovative approaches to data-driven problem solving.
