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  • Posted: Jul 13, 2026
    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...
    Read more about this company

     

    Actuarial Analyst - Data and Reporting

    Key Purpose of the role

    • Discovery Corporate & Employee Benefits consists of three major pillars namely, Group Risk, Umbrella Funds and Healthy Company, each focussed on delivering various aspects of the value proposition. The primary purpose of this role is to deliver high-quality, data-driven reporting and insights to support client servicing teams, brokers, and employers within Discovery Corporate & Employee Benefits.
    • The role sits within the Product Systems and Analytics function, supporting data, reporting, and analytics requirements across Discovery Corporate & Employee Benefits. It focuses on improving the accuracy, consistency, and efficiency of reporting outputs by addressing current challenges related to manual processes, data quality issues, and inconsistent formatting, while building scalable and automated reporting solutions over time.
    • The successful candidate will work closely with Key Account Managers, actuarial teams, and operational stakeholders to ensure that reporting supports both client needs and internal decision-making.

    Areas of responsibility may include but not limited to
    The successful applicant will be responsible for but not limited to the following job functions:

    • Produce accurate and timely management reports, client reports, broker reports and employer reports. 
    • Prepare recurring monthly, quarterly and annual reporting deliverables. 
    • Support Key Account Managers by producing consistent reporting outputs for client reviews and business meetings. 
    • Ensure reports meet agreed quality standards and formatting requirements. 
    • Develop and maintain standard reporting templates and reporting processes. 
    • Create consistent reporting solutions that can be used across multiple clients and business units. 
    • Perform data validation, reconciliation and quality checks on insurance and employee benefits data. 
    • Investigate data discrepancies, reporting exceptions and data quality issues. 
    • Analyse insurance, member, employer and portfolio data to identify trends and business insights. 
    • Monitor and report on key performance indicators (KPIs). 
    • Respond to ad hoc reporting and data analysis requests. 
    • Automate manual reporting processes using Excel, SQL, Power BI, Python, VBA or similar tools. 
    • Improve reporting efficiency through reporting automation and process improvement initiatives. 
    • Work closely with Key Account Managers, actuarial teams, operational teams and systems teams to gather and deliver reporting requirements. 
    • Contribute to the improvement of reporting and analytics capabilities across Discovery Corporate and Employee Benefits. 

    Personal Attributes and Skills

    • Living the Discovery values
    • Data Analysis and Problem Solving 
    • Stakeholder Management 
    • Project Planning and Prioritisation 
    • Attention to Detail 
    • Written and Verbal Communication 
    • Process Improvement 
    • Collaboration and Teamwork 
    • Data Quality Management 

     Education and Experience

    • National Senior Certificate (Matric)
    • Bachelor's Degree in Actuarial Science, Statistics, Mathematics, Applied Mathematics, Data Science or Computer Science 
    • Minimum 3 – 5 years experience within Life Insurance, Group Life Insurance, Employee Benefits, Retirement Funds or Financial Services
    • Minimum 3–5 years experience in data analysis, reporting or actuarial analysis
    • Minimum 3 years experience working with large datasets
    • Experience producing management reports, operational reports or client reports
    • Experience using Microsoft Excel at an advanced level
    • Experience using Python at an advanced level
    • Experience using R Programming at advanced level
    • Experience using SQL at advanced level
    • Experience using Visual Basic Applications (VBA) at intermediate level
    • Experience with software testing and user acceptance testing

    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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