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  • Posted: Jun 27, 2025
    Deadline: Not specified
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  • Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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    BI Actuarial Analyst

    Key Purpose

    • We are seeking a highly skilled and experienced BI Actuarial Analyst that will be part of a team that delivers analysis to inform decision making in the business and monitor business performance across all areas of the company. The ideal candidate will conduct analysis based on business needs and design, develop, and optimize BI solutions that drive actionable insights.

    Areas of responsibility may include but are not limited to

    • Work closely with business and actuarial stakeholders to gather requirements and translate business needs into scalable BI solutions through analytical thinking.
    • Solving ad-hoc analytical problems
    • Design and develop BI solutions (ETL processes, data models, dashboards, reports) using enterprise BI tools and SQL.
    • Optimize SQL queries for performance and ensure high data quality and integrity.
    • Provide mentoring and support to junior BI developers.
    • Collaborate with data governance and data quality teams to ensure compliance and data accuracy.
    • Conduct root-cause analysis and troubleshooting on data issues and anomalies.
    • Provide inputs on data extraction and transformation from core insurance systems (e.g., policy admin, claims, finance).

    Skills and Knowledge:

    • Programming (SQL, R), Power BI software and advanced Microsoft Office skills.
    • Diagnostic information gathering.
    • Analytical thinking.
    • Thoroughness.
    • Proven experience with BI tools such as Power BI, SSIS, SSRS.
    • Solid understanding of data warehousing concepts and dimensional modelling.
    • Business Intelligence
    • Insurance experience is advantages
    • Familiarity with cloud data platforms (e.g., Azure Synapse) 

    Education and Experience

    Education:

    • Matric (Essential)
    • Bachelor’s degree in actuarial science and/or mathematical statistics or strong mathematical/economics candidate (Essential)

     Minimum Experience:              

    • 3 Years experience in any of the fields specified under essential qualification.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Discovery Limited on careers.discovery.co.za to apply

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