PPS has more than 200 000 members who enjoy access to a comprehensive suite of financial and healthcare products that are specifically tailored to meet the needs of graduate professionals.
PPS is the largest South African company of its kind that still embraces an ethos of mutuality, which means that it exists solely for the benefit of its members. Thus, ...
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Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
Data science programming languages such as R, Python.
Data manipulation skills including SQL to extract, transform and load data.
Experience working with PowerBI
Knowledge of the medical scheme act and relevant legislation/regulations
Operating data mining tools and software and data analytical software (e.g ACL, Idea, Qlickview, BI, Yellowfin etc.)
Experience in interactive data exploration.
Strong ability to communicate findings and recommendations from data (visual, verbal and written).
Confident and professional manner
Articulate, both verbally, writing and visual
An objective, logical and enquiring mind
Strong analytical and problem-solving skills
Good project management and team working ability
Good time management
Must be able to work independently and under pressure
High level of attention to detail, resilience, enthusiasm, energy and drive.
Ability to work cohesively in a team environment and balance multiple priorities.
Duties and Responsibilities
Collaborate with a multitude of stakeholders to translate data findings into actionable insights and strategic recommendations.
Collect, analyze, and interpret large and complex healthcare datasets to identify trends, patterns, and insights related to medical scheme performance and fraud, waste and abuse.
Develop and deliver regular reports on medical scheme metrics and fraud, waste and abuse. This includes but is not limited to retention models, utilization rates, cost analysis, patient demographics, and treatment outcomes.
Ensure the accuracy, completeness, and reliability of the data used in analyses. Implement and maintain data governance and privacy standards, especially with sensitive patient information.
Continuously seek ways to improve medical scheme and fraud, waste and abuse reporting and analytics processes. This includes the adoption of new technologies, methodologies, and best practices in data science.
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