Data Analyst

Boardroom Appointments; South Africa; On-site; ZAR 300 000 - 400 000; Full time

Job summary

An established industry player is seeking a dynamic individual to lead analytical teams across various healthcare sectors in South Africa. This role involves mining extensive datasets, ensuring robust data delivery, and collaborating with stakeholders to derive actionable insights. The ideal candidate will possess a strong background in healthcare analytics, with proficiency in SQL and Python, and the ability to communicate effectively across diverse teams. Join this innovative firm to make a significant impact on healthcare strategies and product development, leveraging data to enhance outcomes and drive success in a rapidly evolving environment.

Qualifications

• Extensive experience in healthcare analytics is essential.
• Proficiency in SQL, Python, and advanced Excel is required.
• Understanding of various healthcare data systems and analytics.

Responsibilities

• Oversee analytical teams and coordinate with technical heads.
• Mine large datasets and present actionable insights.
• Support design of data systems for efficient analytics.

Skills

Healthcare Analytics

SQL

Python

Advanced Excel

Basic to Advanced Statistics

Risk Adjustment

Health Outcome Assessment

Data Governance

ETL/ELT

Data Science in Healthcare

Education

Bachelor's Degree in Actuarial Science

Bachelor's Degree in Statistics

Bachelor's Degree in Healthcare Related Field

Tools

Microsoft Azure

Databricks

Synapse

Data Factory

Job description

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:

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

Qualifications and experience:

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