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  • Posted: Jun 10, 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

     

    Analyst

    Key Purpose
    The key purpose of this role is to be able to extract and analyse data according to requirements set out by business. The focus of the unit is to identify and detect potential fraud within the Discovery Health business.

    Areas of responsibility may include but not limited to

    • Logging new requests
    • Extracting data using Oracle PL/SQL and IBM Aginity Netezza
    • Trend analysis
    • Producing accurate reports and dashboards
    • Managing relationships with risk management and forensics

    Personal Attributes And Skills

    • Self-starter
    • Ability to work under pressure and at fast pace
    • A restless curiosity towards data and uncovering unknown fraudulent patterns
    • Ability to work cohesively in a team environment and balance multiple priorities
    • A team player who can work alone when required and without supervision
    • 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

    Technical Skills

    • Experience in coding using Oracle PL/SQL or Aginity Netezza is essential
    • Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
    • Advanced excel (using formula such as VLOOKUP’s, pivot tables, cubes, VBA)
    • Ability to work with, analyse and communicate findings from data (verbal and written)

    Education And Experience

    • Undergraduate 3 year degree in either Computer Science, Data Science, Statistics, Applied mathematics
    • Other analytical qualifications will also be considered

    Method of Application

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

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