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  • Posted: Oct 22, 2021
    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

     

    Fraud Data 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 main focus of the unit is to identify and detect potential fraud within the Discovery Health business. The successful candidate will need to be able to mine large data sets to find and present new insights to 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

    • Analysing data to identify outliers

    • Producing accurate reports, dashboards and models

    • Putting together PowerPoint presentations to present findings from analysis

    • Managing relationships with risk management and forensics

    • Exploring new methods of improving the Fraud analytics process

     

    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

    • Advanced excel (using formula such as VLOOKUP’s, pivot tables, cubes, VBA)

    • Strong analytical skills

    • Ability to work with, analyse and communicate findings from data (verbal and written)

    • Experience using PowerBI or SASVA

    • Exposure to statistical modelling would be beneficial

    Education and Experience

    • Undergraduate 3-year degree in either Data Science, statistics, applied mathematics with some experience in the health care industry

    • Other analytical qualifications will also be considered if accompanied by the relevant experience

    EMPLOYMENT EQUITY   
                                 
    The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

    Method of Application

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

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