Description:
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 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)
- 0-3 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.
Requirements:
- 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 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
- Matric (essential)
- Tertiary degree in Data Science, Information Systems, Statistics, Mathematics or similar (advantageous)
- 0-3 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)
- 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
06 Feb 2026;
from:
careers24.com