Data Analyst - Sandton, South Africa - HR Genie
Description
Our Client a Global Tech firm is seeking a Data Analyst with Healthcare experience to join their team in Sandton.
They offer stability, growth, attractive rates and a great working environment.
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.
Requirements:
- 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
- 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)
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