Business Data Analyst

Boardroom Appointments; South Africa; On-site; ZAR 200 000 - 300 000; Full time

Job summary

An established industry player is seeking a talented analytics leader to oversee diverse analytical teams in South Africa. This role focuses on the efficient delivery of analytical products and frameworks, requiring strong communication with stakeholders across various fields, including healthcare, operations, and marketing. The successful candidate will leverage their extensive experience in healthcare analytics, utilizing tools like SQL and Python to extract insights from complex datasets. Join this innovative firm to make a significant impact on healthcare strategies and product development, driving improvements across multiple domains.

Qualifications

• Extensive experience in healthcare analytics and data systems.
• Strong skills in SQL, Python, and advanced Excel for data analysis.

Responsibilities

• Oversee analytical teams and coordinate with technical heads.
• Mine large datasets and present actionable insights for healthcare strategies.

Skills

Data Analytics

Data Science

SQL

Python

Advanced Excel

Statistics

Healthcare Analytics

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 deliver.

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).