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  • Posted: May 31, 2022
    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

    Key outputs

    • Source and provide customised data to the business
    • Expand the suite of automated analytical/KPI reports used by clients of the Marketing and Sales Analytics team (relating to lead volumes, call centre metrics, campaign performance etc.)
    • Be an enabler of performance marketing, i.e. perform analyses, provide insights and build predictive models that will assist with:
    1. Client segmentation and ideal client identification
    2. Development and implementation of targeted marketing strategies
    3. Optimisation of call centre operations
    4. Digital marketing optimisation
    • Guide business stakeholders in what data to extract
    • Improve processes and databases where opportunities arise
    • Interpret and disseminate information via reports and publications

    Competencies

    • Strong analytical and statistical modelling/machine learning skills
    • Skill in producing BI reports and working with BI software tools
    • Above average ability to work with, analyse and report on data
    • Ability to source data from both structured and unstructured sources
    • Good communication skills and ability to build relationships with key stakeholders
    • Ability to work under pressure and in conditions of change
    • A team player who can work alone when required and without supervision
    • Ability to multi-task and to manage workload
    • Organized
    • High level of attention to detail
    • Resilience, enthusiasm, energy and drive
    • Positive, can-do attitude
    • Ethical and able to maintain confidentiality and manage boundaries
    • Aligned to Discovery values and core purpose

    Qualification and experience

    • Honours degree (or higher) in statistics, actuarial sciences, computer science (or equivalent, relevant qualification)
    • Knowledge of statistical packages (R, SAS, SPSS, Python etc.)
    • Knowledge of BI reporting tools (Power BI)
    • Experience in statistical and machine learning modelling techniques
    • High level of computer literacy (advanced MS-Excel and SQL)

    Method of Application

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

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