Data Analyst (Life Insurance)

We’ve got a position available for a data analyst

Company: King Price Life

Purpose of position

Protect, enhance and maintain the organisation’s data environment through strong data quality controls, systems understanding, and the development of robust data and calculation frameworks.

Key Responsibilities

• Own and maintain the integrity of core datasets, ensuring consistent data quality, validation, and governance
• Design, document, and manage calculation frameworks
• Develop BI dashboards and reporting tools that provide reliable management insights, ensuring accuracy and alignment with business rules
• Collaborate closely with actuarial, operations, IT, and finance teams to streamline data flows and documentation
• Structure raw data into clean, auditable, version-controlled frameworks
• Optimise manual processes and develop automated or semi-automated scripts/tools where applicable
• Maintain a strong understanding of system architecture and how various data sources integrate across the organisation
• Support the business with management information, quality monitoring, and operational reporting
• Proactively identify inefficiencies, perform root-cause analysis and propose solutions to improve data processes end-to-end

Requirements

• Matric (essential)
• Tertiary degree in Data Science, Information Systems, Statistics, Mathematics or similar (advantageous)
• 1-4 years’ experience working with data systems, data quality, or BI/reporting environments
• Proficiency in Power BI, SQL, and Excel
• Understanding of data governance, data validation controls, and quality assurance methodologies (advantageous)
• Familiarity with insurance processes and operational data environments (advantageous)

Skills and Attributes

• Exceptional attention to detail and strong analytical capability
• Curiosity-driven and proactive in identifying inefficiencies, risks, and improvements
• Strong problem-solving mindset with the ability to translate business rules into structured logic
• Excellent communication and documentation skills - able to simplify complex data issues for stakeholders
• Strong organisational ability and a commitment to high-quality outputs

Should you not receive any feedback within ten (10) working days after the closing date, please accept your application as unsuccessful.