Data Analyst (Healthcare Experience)

Boardroom Appointments; Sandton; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Boardroom Appointments seeks a Data Analyst with healthcare analytics experience to oversee analytics teams in South Africa and coordinate with technical leads in Singapore. The role focuses on timely, robust delivery of analytical products and frameworks with strong stakeholder communication.

Responsibilities include mining diverse datasets, standardizing data structures, and designing scalable data systems to support healthcare insights across clinical, operations, fraud, and wellness domains.

Qualifications

• 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.
• Knowledge of databases, governance, metadata standards, ETL/ELT and data architecture principles.
• Knowledge of patient health management, provider profiling and healthcare reporting.
• Knowledge of clinical tools including coders, groupers, and classifications.
• Knowledge of data science in the healthcare space.

Responsibilities

• Mine large structured and unstructured datasets for multiple companies with different data structures.
• Own data structures and set standards and vision for normalized data sets.
• Support design of data systems to enable efficient, scalable analytics.
• Use data to derive insights informing healthcare strategies and product development.
• Perform basic to advanced data analytics, ad hoc and in production.
• Present data and model findings to provide actionable insights.
• Interact with stakeholders to understand data, systems, and analytics in healthcare context.
• Improve processes and data outcomes where opportunities arise.

Skills

SQL

Python

Advanced Excel

Healthcare analytics

Education

Bachelor's degree in actuarial science or statistics or healthcare related

Tools

Microsoft Azure

Databricks

Synapse

Data Factory

Job description

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 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)