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  • Data Analyst - Sandton - Boardroom Appointments

    Boardroom Appointments
    Boardroom Appointments Sandton

    2 weeks ago

    Boardroom Appointments background
    Description

    About the Role

    We are seeking a seasoned Data Analyst to oversee analytical teams across South Africa and collaborate with technical leads in Singapore.

    The primary objective is to ensure timely, accurate, and robust delivery of analytical products and frameworks while maintaining effective communication with key stakeholders.

    Key Responsibilities:

    • Mining large datasets from various companies, including structured and unstructured data with diverse structures
    • Owning data structures and business logic by setting standards for normalized datasets
    • Designing data systems to facilitate efficient, scalable, and reproducible analytics
    • Utilizing data insights to inform healthcare strategies and develop products across multiple fields, including clinical, operations, fraud, digital, sales, marketing, wellness, and more
    • Performing basic to advanced data analytics, both ad-hoc and production-based
    • Presenting data findings to provide actionable insights
    • Connecting with stakeholders to understand data, systems, and analytical architecture in a healthcare context
    • Improving processes and data outcomes where opportunities arise

    Requirements:

    • Bachelor's degree in Actuarial Science, Statistics, or a related field
    • Extensive experience in healthcare analytics
    • Proficiency in SQL, Python, and advanced Excel
    • Understanding of statistics, risk adjustment, and health outcome assessment frameworks
    • Familiarity with databases, governance, metadata standards, and data architecture principles
    • Knowledge of patient health management, provider profiling, healthcare reporting, and other key technologies
    • Understanding of clinical tools, including coders, groupers, and classifications
    • Experience with data science in the healthcare space
    • Familiarity with actuarial calculations (reserving, risk rating, etc.)
    • Preferred experience with Microsoft Azure (Databricks, Synapse, Data Factory)

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