About the job Data Analyst (Healthcare Experience)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 deliver.Duties and responsibilities:Mining large structured and unstructured datasets for a multitude of companies with different data structuresOwnership of data structures and relevant business logic by setting standards and vision for normalized data setsSupport the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible wayUsage 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, etcPerforming basic to advanced data analytics both ad hoc and in productionPresent data and model findings in a way that provides actionable insightsConnecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare contextImprove processes and data outcomes where opportunities ariseQualifications and experience:A bachelor's degree in actuarial science, statistics, healthcare related, or similar.Extensive experience in healthcare analyticsExperience and skill set in SQL, python, and advanced excelUnderstanding in basic to advanced statistics, risk adjustment and health outcome assessment frameworksUnderstanding of data in various areas of expertise from clinical, operations, fraud, digital, sales and marketing, wellness, etcKnowledge 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 technologiesKnowledge of clinical tools including coders, groupers, and classificationsKnowledge of data science in the healthcare spaceUnderstanding 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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