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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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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.
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