Job Description

Key purpose:

The role will be responsible to oversee a range of analytical teams from data analytics, data science, and clinical in South Africa and co-ordinate with technical heads who will be based in Singapore. The objective of the role is to ensure timeous, robust and accurate delivery of analytical products and frameworks. Effective communication between key stakeholders is vital to ensure delivery.

 Duties and responsibilities:

• Mining large structured and unstructured datasets for a multitude of companies with different data structures
• Ownership of data structures and relevant business logic by setting standards and vision for normalized data sets
• Support the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible way
• Usage of data to find new insights to inform healthcare strategies and develop product there will be a broad range of fields to understand from clinical, operations, fraud, digital, sales and marketing, wellness, etc
• Performing basic to advanced data analytics both ad hoc and in production
• Present data and model findings in a way that provides actionable insights
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
• Improve processes and data outcomes where opportunities arise

Qualifications and experience:

• A bachelor's degree in actuarial science, statistics, healthcare related, or similar.
• Extensive experience in healthcare analytics
• Experience and skill set in SQL, python, and advanced excel
• Understanding in basic to advanced statistics, risk adjustment and health outcome assessment frameworks
• Understanding of data in various areas of expertise from clinical, operations, fraud, digital, sales and marketing, wellness, etc
• Knowledge of databases and structures, governance and meta data standards including data architecture principals, ETL/ELT,
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies
• Knowledge of clinical tools including coders, groupers, and classifications
• Knowledge of data science in the healthcare space
• Understanding of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.)
• Experience in Microsoft Azure preferred (Databricks, Synapse, Data Factory)