What is the role

• In the Discovery Health Risk Intelligence unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met. The fixed term contract is for a period of a year, with the possibility of full-time employment thereafter.

What you will do

• The successful applicant will be working within a highly specialized and growing team to enable delivery of advanced analytics capability.

Responsibilities will include:

• Automation and generation of all core functions reports, making sure that reports are released timeously and conform to pre agreed standards
• Work collaboratively as part of team engaging with actuaries, data scientists and business in a healthcare context
• Ensuring that any enhancements and latest tools are incorporated in respective reports
• Present data and model findings in a way that provides actionable insights
• Technical analysis and reporting deliverables produced by the analytics unit
• Producing regular monitoring reports, as well as detailed investigations
• Work with a range of stakeholders to ensure to present and apply insights effectively in the
• environment
• Improve processes and analytical outcomes where opportunities arise

What skills you will need:

Technical skills core:

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Ability to extract insights from data to guide decision making
• Experience working on large and complex datasets
• Experience in using SQL, MS Office,
• Experience in programming languages such as R, Python, SSRS , PowerBI etc beneficial

Behavioural skills:

• A passion for data exploration and complex healthcare environment
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• 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

Professional Qualifications & Experience

• Honours or Masters’ degree in either Data Science, Statistics, or Applied Mathematics
• Statistical and Healthcare experience is beneficial
• Other qualifications will also be considered if accompanied by the relevant experience