Data Analyst

Boardroom Appointments; South Africa; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading company in South Africa is seeking a skilled professional to oversee analytical teams in healthcare analytics. The role involves mining datasets, supporting data system design, and ensuring effective communication with stakeholders. Ideal candidates will have a strong background in healthcare analytics and proficiency in SQL and Python.

Qualifications

• Extensive experience in healthcare analytics.
• Understanding of basic to advanced statistics and health outcome assessment frameworks.
• Familiarity with databases and data governance.

Responsibilities

• Mining large structured and unstructured datasets for multiple companies.
• Supporting the design of data systems for efficient analytics.
• Engaging with stakeholders to understand data and analytical architecture.

Skills

SQL

Python

Advanced Excel

Education

Bachelor's degree in actuarial science

Bachelor's degree in statistics

Bachelor's degree in healthcare-related fields

Tools

Microsoft Azure

Databricks

Synapse

Data Factory

Job description

The role will be responsible for overseeing a range of analytical teams, including data analytics, data science, and clinical teams in South Africa, while coordinating with technical heads based in Singapore. The objective of the role is to ensure the timely, robust, and accurate delivery of analytical products and frameworks. Effective communication between key stakeholders is vital to ensure successful delivery.

Duties and Responsibilities:

1. Mining large structured and unstructured datasets for multiple companies with different data structures.
2. Owning data structures and relevant business logic by setting standards and vision for normalized data sets.
3. Supporting the design of data systems to ensure data analytics are efficient, scalable, and reproducible.
4. Using data to find new insights to inform healthcare strategies and develop products across various fields such as clinical, operations, fraud, digital, sales and marketing, wellness, etc.
5. Performing basic to advanced data analytics, both ad hoc and in production.
6. Presenting data and model findings in an actionable manner.
7. Engaging with stakeholders to understand data, systems, and analytical architecture within a healthcare context.
8. Improving processes and data outcomes whenever opportunities arise.

Qualifications and Experience:

1. A bachelor's degree in actuarial science, statistics, healthcare-related fields, or similar.
2. Extensive experience in healthcare analytics.
3. Proficiency in SQL, Python, and advanced Excel.
4. Understanding of basic to advanced statistics, risk adjustment, and health outcome assessment frameworks.
5. Knowledge of data across clinical, operational, fraud, digital, sales and marketing, wellness, and other healthcare areas.
6. Familiarity with databases, data governance, metadata standards, data architecture principles, ETL/ELT processes.
7. Knowledge of healthcare technologies such as patient health management, provider profiling, and healthcare reporting.
8. Familiarity with clinical tools including coders, groupers, and classifications.
9. Understanding of data science applications in healthcare.
10. Knowledge of healthcare benefit pricing, product pricing, and actuarial calculations like reserving and risk rating.
11. Experience with Microsoft Azure platforms such as Databricks, Synapse, and Data Factory is preferred.