Analyst (Senior) at Discovery Limited

Key Purpose

The Risk Intelligence team has an exciting opportunity available for high calibre individuals interested in a career in advanced healthcare analytics. The team’s core purpose is to create intelligence for a healthier tomorrow for our clients by leveraging Discovery’s vast data assets and cutting-edge analytical methodologies. These valuable insights are used to drive efficiency and quality in the provision of healthcare to our members. We work as an integrated, collaborative, and multidisciplinary team to ensure our objectives and goals are met. The successful candidate must be motivated, apply critical thinking skills, and have excellent communication skills.

Areas of responsibility may include but not limited to

• Being responsible for technical analysis and delivering actionable reporting
• Working with clinicians, actuaries, data scientists and other professionals in the team to develop and implement innovative tools
• Contributing intellectually to detailed investigations for various initiatives
• Delivering clear and reliable results, often on tight deadlines
• Applying the principles of risk adjustment in healthcare to deepen understanding of the variations in scheme experience and identify appropriate cost and quality interventions to ensure the sustainability of the scheme
• Clearly communicating and presenting data, methodology and model findings to internal and external stakeholders to highlight actionable insights
• Working comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, Python, Java etc
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture
• Working with various stakeholders to implement interventions effectively
• Improving processes and analytical outcomes where opportunities arise
• Producing regular monitoring reports and detailed investigations

Personal Attributes and Technical Skills

• Excellent conceptual and analytic ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and teams
• Ability to extract insights from data to guide decision making
• Healthcare experience and an understanding of clinical risk adjustment methodologies
• Managing complexity
• High degree of accuracy
• Experience working on large and complex datasets
• Experience in using SQL, MS Office
• Experience in programming languages such as R and Python would be beneficial

Education and Experience

• Honours or master’s degree in either Data Science, Actuarial Science, Statistics or Applied Mathematics
• Statistical and Healthcare experience is beneficial
• Other qualifications will also be considered if accompanied by the relevant experience
• Data and analytic work experience (4+ years)
• SQL
• R or Python programming language (advantageous)

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.

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.