Business Data Analyst

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

Job summary

A healthcare analytics company based in South Africa seeks a candidate to oversee analytical teams and ensure accurate delivery of analytical products. Responsibilities include mining datasets, designing data systems, and leveraging data to inform healthcare strategies. Candidates must hold a relevant bachelor's degree and have extensive experience in healthcare analytics, with strong skills in SQL, Python, and Excel. Microsoft Azure experience is preferred.

Qualifications

• Extensive experience in healthcare analytics.
• Understanding of basic to advanced statistics.
• Knowledge of data architecture principles and ETL/ELT.

Responsibilities

• Mine large datasets for various companies.
• Ownership of data structures and business logic.
• Present findings that provide actionable insights.

Skills

SQL

Python

Advanced Excel

Education

Bachelor’s degree in actuarial science, statistics, or healthcare related

Tools

Microsoft Azure

Databricks

Synapse

Data Factory

Job description

Overview

The role will oversee a range of analytical teams from data analytics, data science, and clinical in South Africa and coordinate with technical heads based in Singapore. The objective is to ensure timely, robust, and accurate delivery of analytical products and frameworks. Effective communication between key stakeholders is vital to ensure delivery.

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
• Use data to find new insights to inform healthcare strategies and develop products across a broad range of fields including clinical, operations, fraud, digital, sales and marketing, wellness, etc
• Perform basic to advanced data analytics both ad hoc and in production
• Present data and model findings in a way that provides actionable insights
• Connect 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 of 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 metadata standards including data architecture principles, 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)