Data Analyst - PPS Recruitment

Job Advert Summary

To analyse data across business to make informed decisions by interpreting data using statistical techniques, developing and implementing data analyses, data collection systems that optimize efficiency and quality by acquiring data from primary or secondary data sources and maintaining databases.

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.

Minimum Requirements

• Matric
• Commercial or Statistical Science Degree
• Data science programming languages such as R, and Python.
• Data manipulation skills including SQL to extract, transform and load data.
• Experience working with PowerBI
• 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.