Purpose

• The ideal candidate will leverage data analytics to support strategic decision-making, streamline and automate key processes, and analyze cost structures to identify cost-saving opportunities. This role requires a deep understanding of insurance industry dynamics, strong financial acumen, and advanced data analytics capabilities.

Key Responsibilities

Data Analytics

• Collect, process, and analyze large datasets to identify trends, patterns, and insights that drive business performance.
• Use advanced statistical techniques and data mining methodologies to support business decisions.

Reporting & Visualization

• Create comprehensive reports and dashboards to present findings to senior management and stakeholders.
• Develop visualizations using tools like Tableau, Power BI, or similar to effectively communicate complex data insights.

Streamlining/Automation process

• Conduct detailed analysis to identify key process and potential areas for streamlining/automation.

 Collaboration

• Work closely with finance, underwriting, claims, and other departments to gather data and understand business needs.
• Partner with IT and data engineering teams to ensure data infrastructure supports analytical needs.

Strategic Initiatives

• Support strategic initiatives by providing data-driven insights and recommendations.
• Participate in cross-functional projects to improve efficiency, reduce costs, and enhance overall business performance.

 Innovation

• Stay updated with the latest trends and advancements in data analytics, cost management, and the insurance industry.
• Experiment with new methodologies and tools to enhance analytical capabilities and business impact.

Minimum Experience

• 1 – 2 years experience in a similar environment

Minimum Qualifications

• Bachelor`s Degrees and Advanced Diplomas [NQF Level 07] in Finance, Economics, Data Science, Statistics, Mathematics, or a related field.

Competencies

• Proven experience in cost analysis, financial analysis, or data analytics within the insurance industry.
• Proficiency in using data analytics tools and programming languages such as SQL, Python, R, or similar.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with insurance financial metrics, underwriting processes, and claims management is a plus.
• Strong analytical and problem-solving skills with the ability to interpret complex data and generate actionable insights.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong organizational and project management skills with the ability to handle multiple tasks simultaneously.