Statistical Analyst - Amplify Health at Discovery Limited

What you will do?

•  The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant statistical methods within our healthcare products while effectively understanding and leveraging healthcare data. Effective communication between a range of stakeholders is vital to ensure delivery.
• The ideal person has a passion for combining statistics and data to find significant insights (statistically that is).

The role is based in Sandton, South Africa.

Position(s) are available at both an associate (3-5 years relevant experience) and a senior (5+ years experience) level with compensation and responsibilities reflecting your experience.

Core responsibilities include:

• Mining large structured and unstructured datasets for a multitude of companies with different data structures
• Usage of data to find new insights to inform healthcare strategies and develop product – there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc. 
• Building and applying different statistical techniques to the business problem to ensure correct and robust insights
• Performing basic to advanced data analytics both ad hoc and in production
• Present data and model findings in a way that provides actionable insights
• Specifying statistical and analytical reports which use a range of outputs to derive business insights that will meaningfully change the environment
• Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
• Improve processes and data outcomes where opportunities arise

 What you need to be successful

Behavioural skills:

• Communication skills across a wide range of stakeholders
• Ability to work cohesively in a team environment with key focus on statistics
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude focused on continuous improvement
• Ability to take and provide feedback to drive improved delivery
• Rigorous ability to problem-solve and optimise environment

Technical understanding- a working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:

• Proficient in SQL, and advanced excel
• Working experience in Python is advantageous 
• Proficient in basic and advanced statistical methods
• Working experience in risk adjustment and health outcome indices and metrics
• Working experience of data in at least 2 out of the following areas of expertise from clinical, operations, fraud, digital, sales and marketing, wellness, etc.
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
• Knowledge of clinical tools including coders, groupers, and classifications is advantageous
• Knowledge of data science in the healthcare space is advantageous
• Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.)  is advantageous
• Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.) is advantageous 

Qualifications:

• A bachelor's degree in statistics, healthcare related, or similar.
• A master's degree in a related field preferred.
• Experience in healthcare analytics.