Junior Data Analyst (Medical Aid)_Centurion

Junior Data Analyst

My client is committed to leveraging data to drive meaningful insights and innovation. Using the latest analytics tools and processes, we can maximise our offerings and deliver unparalleled service and support. To propel our progress, we’re seeking an experienced data analyst to join our Innovation team, as part of our medical scheme benefit option design team, where you will report on benefit and profile trends and conduct in-depth analytics. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualisation. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth. Experience in the medical scheme’s industry is highly recommended.

Objectives of this role

Support the development and automation of reports and dashboards from AWS datasets (Athena, SQL, Power BI, Excel).

Conduct data cleaning, validation, and transformation to ensure data integrity.

Assist in analysing medical scheme data, including claims, membership, and chronic disease profiles.

Learn and apply best-practice reporting and data visualisation techniques.

Gain exposure to healthcare and insurance analytics, building towards greater responsibility.

Responsibilities

Extract, clean, and process data from AWS Athena and other sources.

Build and update automated dashboards and standard reports.

Support senior analysts in analysing healthcare data and identifying key trends.

Conduct exploratory analysis and prepare datasets for use in actuarial and business reporting.

Document processes and maintain data pipelines for repeatability.

Work collaboratively with the analytics team, ensuring timely delivery of outputs.

Preferred skills and qualifications

Bachelor’s degree (or equivalent) in mathematics, statistics, data science, economics, or computer science.

2 years’ experience in data analysis, preferably in healthcare, insurance, or financial services.

Proficiency in SQL and Excel (Python and Power BI an advantage).

Strong attention to detail and willingness to learn.

Ability to work effectively in a collaborative, team-oriented environment.