Key Duties and Responsibilities:
- Analyse and synthesise data from various business units to drive actionable insights and value.
- Develop financial models, ROI frameworks, and benefit realisation dashboards.
- Quantify the financial and strategic impact of data products, analytics solutions, and governance initiatives.
- Collaborate with senior leadership and cross-functional teams to align data initiatives with business objectives.
- Create dashboards, integrated reports, and strategic presentations for executive stakeholders.
- Contribute to the development of the organisation Data Value Management Strategy.
Minimum Requirements:
- Bachelor’s degree in Finance, Actuarial Science, Mathematics, Engineering, Computer Science.
- 5+ years’ experience in data analytics, business analysis, financial modelling essential.
- Strong experience in financial services, insurance, mining.
- 3 years+ experience i data monetisation, value management.
- Advanced proficiency in PowerBI, Python, or R.(Any)
- Working knowledge of Machine Learning (ML), Artificial Intelligence (AI), Generative AI, and Automation.
- Deep understanding of banking products, KPIs (NPV, cost-to-income ratio), and regulatory environments such as POPIA and Basel III.
- Proficiency with Pivot Tables and interpreting complex datasets for strategic decisions.
Desired Skills:
- Data Monitisation
- Value Management
- Actuary
- Financial Modelling
Desired Qualification Level:
- Degree